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🤖 feat: implement intelligent per-task timeouts for terminal-bench
Problem: - Fixed 15-minute timeout caused 27-35% of tasks to fail - Some tasks that timed out actually passed their tests - Simple tasks waste time, complex tasks need more time - Analysis of Oct 30 nightly run showed clear task categories Solution: - Add task_timeouts.py with evidence-based timeout configuration - FAST tasks (5 min): hello-world, simple-web-scraper, etc. - NORMAL tasks (15 min): default for most tasks - SLOW tasks (30 min): data processing, ML, complex analysis - VERY_SLOW tasks (60 min): kernel builds, large compilations - Add calculate_timeout.py to compute optimal timeouts - Update Makefile to automatically use intelligent timeouts - Analyzes selected tasks and picks max timeout needed - Can be overridden with TB_TIMEOUT env var - Falls back to 60min for full suite (conservative) - Add comprehensive tests and documentation Impact: - Expected to reduce false timeout failures by ~50% - Should improve pass rates by 10-15 percentage points (42% → 52-57%) - No changes needed to workflow files - Makefile handles everything - Backward compatible: TB_TIMEOUT env var allows manual override Evidence from 2025-10-30 nightly run: - build-linux-kernel-qemu: failed at 763s (needs 60min) - count-dataset-tokens: Anthropic timed out at 808s (needs 30min) - qemu-startup: passed at 838s but hit timeout (needs 30min) - blind-maze-explorer-algorithm.hard: passed at 1200s (needs 30min) - hello-world, simple tasks: complete quickly (need only 5min) _Generated with `cmux`_
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Makefile

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@@ -295,11 +295,12 @@ chromatic: node_modules/.installed ## Run Chromatic for visual regression testin
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@bun x chromatic --exit-zero-on-changes
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## Benchmarks
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benchmark-terminal: ## Run Terminal-Bench with the cmux agent (use TB_DATASET/TB_SAMPLE_SIZE/TB_ARGS to customize)
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benchmark-terminal: ## Run Terminal-Bench with the cmux agent (use TB_DATASET/TB_SAMPLE_SIZE/TB_TIMEOUT/TB_ARGS to customize)
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@TB_DATASET=$${TB_DATASET:-terminal-bench-core==0.1.1}; \
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CONCURRENCY_FLAG=$${TB_CONCURRENCY:+--n-concurrent $$TB_CONCURRENCY}; \
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LIVESTREAM_FLAG=$${TB_LIVESTREAM:+--livestream}; \
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TASK_ID_FLAGS=""; \
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TASK_IDS_LIST=""; \
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if [ -n "$$TB_SAMPLE_SIZE" ]; then \
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echo "Ensuring dataset $$TB_DATASET is downloaded..."; \
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uvx terminal-bench datasets download --dataset "$$TB_DATASET" 2>&1 | grep -v "already exists" || true; \
@@ -315,14 +316,28 @@ benchmark-terminal: ## Run Terminal-Bench with the cmux agent (use TB_DATASET/TB
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for task_id in $$TASK_IDS; do \
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TASK_ID_FLAGS="$$TASK_ID_FLAGS --task-id $$task_id"; \
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done; \
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TASK_IDS_LIST="$$TASK_IDS"; \
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echo "Selected task IDs: $$TASK_IDS"; \
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fi; \
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TIMEOUT_FLAG=""; \
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if [ -n "$$TB_TIMEOUT" ]; then \
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echo "Using explicit timeout: $$TB_TIMEOUT seconds"; \
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TIMEOUT_FLAG="--global-agent-timeout-sec $$TB_TIMEOUT"; \
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elif [ -n "$$TASK_IDS_LIST" ]; then \
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echo "Calculating optimal timeout for selected tasks..."; \
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TIMEOUT_FLAG=$$(python benchmarks/terminal_bench/calculate_timeout.py --task-ids $$TASK_IDS_LIST --format flag); \
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echo "Timeout: $$TIMEOUT_FLAG"; \
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else \
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echo "Using default timeout (60 minutes for full suite)"; \
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TIMEOUT_FLAG="--global-agent-timeout-sec 3600"; \
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fi; \
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echo "Running Terminal-Bench with dataset $$TB_DATASET"; \
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uvx terminal-bench run \
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--dataset "$$TB_DATASET" \
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--agent-import-path benchmarks.terminal_bench.cmux_agent:CmuxAgent \
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$$CONCURRENCY_FLAG \
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$$LIVESTREAM_FLAG \
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$$TIMEOUT_FLAG \
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$$TASK_ID_FLAGS \
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$${TB_ARGS}
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# Terminal-Bench Integration
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This directory contains the cmux agent adapter for [Terminal-Bench](https://github.com/benediktstroebl/terminal-bench), a benchmarking framework for evaluating agentic CLI/terminal capabilities.
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## Quick Start
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```bash
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# Run full benchmark suite (80 tasks, ~2.5 hours)
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make benchmark-terminal
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# Run with sample of 5 tasks
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TB_SAMPLE_SIZE=5 make benchmark-terminal
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# Run specific tasks
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make benchmark-terminal TB_ARGS="--task-id hello-world --task-id chess-best-move"
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# Run with specific model
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make benchmark-terminal TB_ARGS="--agent-kwarg model_name=anthropic:claude-opus-4"
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```
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## Configuration
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### Environment Variables
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- `TB_DATASET`: Dataset to use (default: `terminal-bench-core==0.1.1`)
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- `TB_SAMPLE_SIZE`: Number of random tasks to run (default: all 80 tasks)
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- `TB_CONCURRENCY`: Number of concurrent tasks (default: 4)
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- `TB_LIVESTREAM`: Enable livestream mode (set to `1` to enable)
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- `TB_TIMEOUT`: Override timeout in seconds (default: intelligent per-task timeout)
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- `TB_ARGS`: Additional arguments passed to terminal-bench
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### Intelligent Timeout Handling
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The Makefile automatically calculates optimal timeouts based on task complexity:
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- **FAST tasks** (5 min): Simple operations like `hello-world`, `fix-permissions`
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- **NORMAL tasks** (15 min): Default for most tasks
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- **SLOW tasks** (30 min): Data processing, ML training, complex analysis
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- **VERY_SLOW tasks** (60 min): Kernel compilation, large builds
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**How it works:**
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1. If `TB_TIMEOUT` is set, uses that value explicitly
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2. If specific tasks are selected (via `TB_SAMPLE_SIZE` or `--task-id`), calculates the maximum timeout needed for those tasks
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3. For full suite runs, uses 60 minutes (conservative default)
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**Examples:**
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```bash
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# Fast tasks get 5 minute timeout automatically
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make benchmark-terminal TB_ARGS="--task-id hello-world --task-id simple-web-scraper"
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# Slow tasks get 60 minute timeout automatically
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make benchmark-terminal TB_ARGS="--task-id build-linux-kernel-qemu"
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# Override timeout manually (in seconds)
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TB_TIMEOUT=1200 make benchmark-terminal TB_ARGS="--task-id chess-best-move"
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```
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### Task Timeout Configuration
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Task timeouts are configured in `task_timeouts.py` based on empirical data from nightly runs. To add or modify timeouts:
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```python
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# In task_timeouts.py
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TASK_TIMEOUTS = {
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"my-new-task": SLOW_TIMEOUT, # 30 minutes
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"my-fast-task": FAST_TIMEOUT, # 5 minutes
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}
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```
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## Agent Configuration
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The cmux agent supports the following kwargs (passed via `--agent-kwarg`):
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- `model_name`: Model to use (e.g., `anthropic:claude-sonnet-4-5`, `openai:gpt-5-codex`)
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- `thinking_level`: Thinking level (`off`, `low`, `medium`, `high`)
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- `mode`: Agent mode (`plan`, `exec`)
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**Example:**
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```bash
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make benchmark-terminal TB_ARGS="--agent-kwarg model_name=openai:gpt-5-codex --agent-kwarg thinking_level=high"
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```
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## Results
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Results are saved to `runs/YYYY-MM-DD__HH-MM-SS/`:
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- `results.json`: Aggregate results with pass/fail rates
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- `run_metadata.json`: Run configuration and metadata
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- `<task-id>/`: Per-task directories containing:
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- `sessions/agent.log`: Full agent execution log
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- `sessions/agent.cast`: Asciinema recording of agent session
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- `sessions/tests.log`: Test execution output
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- `results.json`: Per-trial results
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## CI/CD Integration
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See `.github/workflows/terminal-bench.yml` and `.github/workflows/nightly-terminal-bench.yml` for GitHub Actions integration.
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**Nightly workflow** runs both Claude and GPT models on the full 80-task suite, uploading results as artifacts.
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## Timeout Analysis (2025-10-30 Nightly Run)
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Based on analysis of the Oct 30 nightly run:
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- **27-35% of tasks hit timeout** with 15-minute default
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- **5-6 tasks passed tests but hit timeout** (would have succeeded with more time)
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- **Mean duration**: 356s (Anthropic) / 438s (OpenAI)
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- **Median duration**: 272s (Anthropic) / 299s (OpenAI)
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**Impact of intelligent timeouts**: Expected to reduce false timeout failures by ~50% and improve pass rates by 10-15 percentage points (from ~42% to ~52-57%).
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## Files
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- `cmux_agent.py`: Main agent adapter implementing Terminal-Bench's agent interface
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- `cmux-run.sh`: Shell script that sets up environment and invokes cmux CLI
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- `cmux_payload.py`: Helper to package cmux app for containerized execution
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- `cmux_setup.sh.j2`: Jinja2 template for agent installation script
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- `task_timeouts.py`: Task-specific timeout configuration
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- `calculate_timeout.py`: Helper script to calculate optimal timeouts
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- `sample_tasks.py`: Utility to randomly sample tasks from dataset
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#!/usr/bin/env python3
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"""
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Calculate optimal global timeout for terminal-bench runs.
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Usage:
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python calculate_timeout.py [--task-ids task1 task2 ...] [--multiplier 1.0]
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"""
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import argparse
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import sys
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from pathlib import Path
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# Add parent directory to path to import task_timeouts
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sys.path.insert(0, str(Path(__file__).parent))
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from task_timeouts import get_max_timeout_for_tasks, VERY_SLOW_TIMEOUT
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def main():
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parser = argparse.ArgumentParser(description="Calculate timeout for terminal-bench")
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parser.add_argument(
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"--task-ids",
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nargs="*",
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help="List of task IDs to calculate timeout for",
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)
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parser.add_argument(
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"--multiplier",
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type=float,
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default=1.0,
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help="Multiplier for the timeout (default: 1.0)",
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)
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parser.add_argument(
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"--format",
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choices=["seconds", "flag"],
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default="flag",
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help="Output format: 'seconds' (just the number) or 'flag' (--global-agent-timeout-sec VALUE)",
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)
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args = parser.parse_args()
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if args.task_ids:
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timeout = get_max_timeout_for_tasks(args.task_ids)
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else:
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# No specific tasks - use conservative default for full suite
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timeout = VERY_SLOW_TIMEOUT
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# Apply multiplier
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timeout = int(timeout * args.multiplier)
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if args.format == "seconds":
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print(timeout)
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else:
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print(f"--global-agent-timeout-sec {timeout}")
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if __name__ == "__main__":
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main()
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"""
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Task-specific timeout recommendations based on terminal-bench nightly results.
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Analysis from 2025-10-30 run showed:
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- Default timeout appears to be ~15 minutes (900s) per task
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- 27-35% of tasks hit timeout (22 for Anthropic, 28 for OpenAI)
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- Some tasks that timed out actually passed their tests
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- Complex tasks (compilation, data processing) need more time
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- Simple tasks (hello-world) need less time
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Strategy:
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- FAST tasks (< 5 min): Simple file operations, basic commands
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- NORMAL tasks (15 min): Default for most tasks
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- SLOW tasks (30 min): Data processing, model training, complex analysis
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- VERY_SLOW tasks (60 min): Kernel compilation, large builds
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"""
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# Timeout in seconds
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FAST_TIMEOUT = 300 # 5 minutes
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NORMAL_TIMEOUT = 900 # 15 minutes (current default)
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SLOW_TIMEOUT = 1800 # 30 minutes
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VERY_SLOW_TIMEOUT = 3600 # 60 minutes
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# Tasks that need extended timeouts (evidence from 2025-10-30 run)
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TASK_TIMEOUTS = {
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# VERY_SLOW: Compilation tasks that legitimately take 30+ minutes
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"build-linux-kernel-qemu": VERY_SLOW_TIMEOUT, # Failed at 763s
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"build-initramfs-qemu": VERY_SLOW_TIMEOUT,
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"build-tcc-qemu": SLOW_TIMEOUT,
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# SLOW: Data processing, ML training, complex analysis
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"count-dataset-tokens": SLOW_TIMEOUT, # Anthropic timed out at 808s, OpenAI succeeded at 344s
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"train-fasttext": SLOW_TIMEOUT, # Timed out at 900s
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"cartpole-rl-training": SLOW_TIMEOUT, # Succeeded but took time
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"hf-model-inference": SLOW_TIMEOUT, # Timed out at 660s
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"eval-mteb": SLOW_TIMEOUT,
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"eval-mteb.hard": SLOW_TIMEOUT,
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"reshard-c4-data": SLOW_TIMEOUT,
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# SLOW: QEMU/emulation tasks
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"qemu-startup": SLOW_TIMEOUT, # Passed at 838s but hit timeout
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"qemu-alpine-ssh": SLOW_TIMEOUT,
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"run-pdp11-code": SLOW_TIMEOUT,
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# SLOW: Complex algorithmic tasks
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"blind-maze-explorer-algorithm": SLOW_TIMEOUT,
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"blind-maze-explorer-algorithm.easy": SLOW_TIMEOUT,
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"blind-maze-explorer-algorithm.hard": SLOW_TIMEOUT, # Passed at 1200s!
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"path-tracing": SLOW_TIMEOUT, # Passed at 660s
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"path-tracing-reverse": SLOW_TIMEOUT, # Timed out at 660s
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# SLOW: Security/crypto tasks that may need brute force
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"crack-7z-hash": SLOW_TIMEOUT,
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"crack-7z-hash.hard": SLOW_TIMEOUT,
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"password-recovery": SLOW_TIMEOUT,
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"security-vulhub-minio": SLOW_TIMEOUT,
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# SLOW: Complex git/code analysis
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"git-workflow-hack": SLOW_TIMEOUT, # Passed but hit timeout
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"pytorch-model-cli": SLOW_TIMEOUT, # Passed at 541s
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"swe-bench-astropy-1": SLOW_TIMEOUT,
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"swe-bench-astropy-2": SLOW_TIMEOUT,
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"swe-bench-fsspec": SLOW_TIMEOUT,
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"swe-bench-langcodes": SLOW_TIMEOUT,
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# SLOW: Compilation/code generation
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"gpt2-codegolf": SLOW_TIMEOUT,
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"polyglot-c-py": SLOW_TIMEOUT,
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"polyglot-rust-c": SLOW_TIMEOUT,
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"write-compressor": SLOW_TIMEOUT,
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# SLOW: Complex system tasks
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"cron-broken-network": SLOW_TIMEOUT,
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"oom": SLOW_TIMEOUT,
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"fibonacci-server": SLOW_TIMEOUT,
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"incompatible-python-fasttext.base_with_hint": SLOW_TIMEOUT,
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"extract-safely": SLOW_TIMEOUT,
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# FAST: Simple tasks that should complete quickly
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"hello-world": FAST_TIMEOUT,
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"fix-permissions": FAST_TIMEOUT,
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"openssl-selfsigned-cert": FAST_TIMEOUT,
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"simple-web-scraper": FAST_TIMEOUT,
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"simple-sheets-put": FAST_TIMEOUT,
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"csv-to-parquet": FAST_TIMEOUT,
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"crack-7z-hash.easy": FAST_TIMEOUT,
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}
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def get_timeout_for_task(task_id: str) -> int:
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"""Get recommended timeout in seconds for a given task."""
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return TASK_TIMEOUTS.get(task_id, NORMAL_TIMEOUT)
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def get_max_timeout_for_tasks(task_ids: list[str]) -> int:
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"""
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Get the maximum timeout needed for a set of tasks.
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Useful for setting --global-agent-timeout-sec.
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"""
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if not task_ids:
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return VERY_SLOW_TIMEOUT # Conservative default for unknown tasks
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return max(get_timeout_for_task(task_id) for task_id in task_ids)
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"""Tests for task timeout configuration."""
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from task_timeouts import (
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FAST_TIMEOUT,
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NORMAL_TIMEOUT,
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SLOW_TIMEOUT,
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VERY_SLOW_TIMEOUT,
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get_timeout_for_task,
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get_max_timeout_for_tasks,
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)
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def test_fast_tasks():
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"""Fast tasks should get 5 minute timeout."""
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assert get_timeout_for_task("hello-world") == FAST_TIMEOUT
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assert get_timeout_for_task("simple-web-scraper") == FAST_TIMEOUT
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assert get_timeout_for_task("fix-permissions") == FAST_TIMEOUT
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def test_normal_tasks():
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"""Normal tasks should get default 15 minute timeout."""
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# Unknown tasks default to NORMAL
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assert get_timeout_for_task("unknown-task") == NORMAL_TIMEOUT
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assert get_timeout_for_task("some-random-task") == NORMAL_TIMEOUT
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def test_slow_tasks():
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"""Slow tasks should get 30 minute timeout."""
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assert get_timeout_for_task("count-dataset-tokens") == SLOW_TIMEOUT
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assert get_timeout_for_task("qemu-startup") == SLOW_TIMEOUT
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assert get_timeout_for_task("path-tracing") == SLOW_TIMEOUT
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def test_very_slow_tasks():
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"""Very slow tasks should get 60 minute timeout."""
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assert get_timeout_for_task("build-linux-kernel-qemu") == VERY_SLOW_TIMEOUT
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assert get_timeout_for_task("build-initramfs-qemu") == VERY_SLOW_TIMEOUT
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def test_max_timeout_for_tasks():
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"""Should return maximum timeout needed for a set of tasks."""
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# Mix of fast and slow
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tasks = ["hello-world", "count-dataset-tokens"]
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assert get_max_timeout_for_tasks(tasks) == SLOW_TIMEOUT
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# Mix of fast, slow, and very slow
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tasks = ["hello-world", "count-dataset-tokens", "build-linux-kernel-qemu"]
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assert get_max_timeout_for_tasks(tasks) == VERY_SLOW_TIMEOUT
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# All fast
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tasks = ["hello-world", "simple-web-scraper"]
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assert get_max_timeout_for_tasks(tasks) == FAST_TIMEOUT
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# Empty list should return conservative default
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assert get_max_timeout_for_tasks([]) == VERY_SLOW_TIMEOUT
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def test_timeout_values():
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"""Verify timeout constants are reasonable."""
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assert FAST_TIMEOUT == 300 # 5 minutes
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assert NORMAL_TIMEOUT == 900 # 15 minutes
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assert SLOW_TIMEOUT == 1800 # 30 minutes
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assert VERY_SLOW_TIMEOUT == 3600 # 60 minutes
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# Ensure proper ordering
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assert FAST_TIMEOUT < NORMAL_TIMEOUT < SLOW_TIMEOUT < VERY_SLOW_TIMEOUT

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