agenttester 0.2.0

Send prompts to multiple coding agents in parallel and compare results

AgentTester

⚠️ Experimental — This project is under active development. APIs, config format, and CLI flags may change without notice.

Send a single prompt to multiple coding agents running in parallel and compare the results. Each agent works in its own git worktree on a separate branch so they never interfere with each other.

Install

uv pip install -e ".[dev]"

Quick Start

# List built-in agents
agenttester agents

# Run two agents on the same prompt
agenttester run "Add unit tests for the auth module" --agents claude,aider

# Use a prompt file
agenttester run --prompt-file task.md --agents claude,codex,aider

# Keep worktrees for manual inspection
agenttester run "Refactor logging" --agents claude,aider --keep-worktrees

How It Works

1. You provide a prompt and select agents
2. AgentTester creates a git worktree + branch for each agent from the current HEAD
3. All agents run concurrently (up to 5), each in its own worktree
4. Agent output streams to the terminal with colored prefixes
5. A markdown comparison report is generated with diff stats and timing
6. Worktrees are cleaned up (branches are preserved for git diff)

Branches are named agenttester/<run-id>/<agent-name> so you can compare results:

git diff agenttester/a3f2c1d0/claude agenttester/a3f2c1d0/aider

Configuration

Copy config.example.yaml to agenttester.yaml in your target repo to customize agents. Built-in presets are available for claude, aider, and codex.

Command Placeholders

• {prompt} — replaced with the shell-escaped prompt text
• {prompt_file} — replaced with a path to a temp file containing the prompt
• If neither placeholder is present, the prompt is piped to the agent via stdin

Agent Settings

Field	Description	Default
command	Shell command template	(required)
commit_style	auto (agent commits) or manual (agenttester commits)	auto
timeout	Max seconds before the agent is killed	600
env	Extra environment variables (key-value map)	{}

Interactive Model REPL

For comparing responses from vLLM model servers interactively, with persistent conversation history within a session:

agenttester repl                        # auto-discovers agenttester.yaml
agenttester repl --config custom.yaml   # explicit config path

The REPL discovers any agent in your config whose command uses query_model.py, fans out each prompt to all of them in parallel, and maintains separate conversation history per model. Use /reset to clear history or exit to quit.

See config.example.yaml for example vLLM agent entries.

Development

uv pip install -e ".[dev]"
ruff check src/
ruff format src/
pytest

Docker

# Run against the current directory
docker compose run --rm agenttester run "Fix the bug" --agents claude

# Run against a different repo
REPO_PATH=/path/to/repo docker compose run --rm agenttester run "Add tests" --agents claude,aider

Library Usage

import asyncio
from pathlib import Path
from rich.console import Console
from agenttester import Orchestrator, load_config

async def main():
    agents = load_config()
    selected = [agents["claude"], agents["aider"]]
    orch = Orchestrator(Path(".").resolve(), Console())
    results = await orch.run("Add unit tests", selected)
    for r in results:
        print(f"{r.agent_name}: exit={r.exit_code} duration={r.duration:.1f}s")

asyncio.run(main())