From c158ac163bcfb94371a49b758f4698c91768bd96 Mon Sep 17 00:00:00 2001 From: Steve James Date: Sat, 9 Aug 2025 20:17:18 +0200 Subject: [PATCH 1/6] add synth + rl examples --- .gitignore | 5 + examples/rl/all_experiments.py | 27 + examples/rl/benchmark.py | 29 + examples/rl/load_scenarios.py | 43 + examples/rl/project_types.py | 23 + examples/rl/pyproject.toml | 15 + examples/rl/rollout.py | 169 +++ examples/rl/sos.py | 146 ++ examples/rl/train.py | 72 + examples/rl/uv.lock | 1552 ++++++++++++++++++++ examples/synthetic_generator/generation.py | 501 +++++++ examples/synthetic_generator/sos.py | 146 ++ 12 files changed, 2728 insertions(+) create mode 100644 examples/rl/all_experiments.py create mode 100644 examples/rl/benchmark.py create mode 100644 examples/rl/load_scenarios.py create mode 100644 examples/rl/project_types.py create mode 100644 examples/rl/pyproject.toml create mode 100644 examples/rl/rollout.py create mode 100644 examples/rl/sos.py create mode 100644 examples/rl/train.py create mode 100644 examples/rl/uv.lock create mode 100644 examples/synthetic_generator/generation.py create mode 100644 examples/synthetic_generator/sos.py diff --git a/.gitignore b/.gitignore index 2f7896d..294a062 100644 --- a/.gitignore +++ b/.gitignore @@ -1 +1,6 @@ target/ +__pycache__/ +data/ + +.env +.python-version \ No newline at end of file diff --git a/examples/rl/all_experiments.py b/examples/rl/all_experiments.py new file mode 100644 index 0000000..a4d2601 --- /dev/null +++ b/examples/rl/all_experiments.py @@ -0,0 +1,27 @@ +import art +from project_types import RunConfig + + +models: dict[str, art.TrainableModel[RunConfig]] = {} + +models["run_1"] = art.TrainableModel[RunConfig]( + base_model="deathbyknowledge/Qwen2.5-3B-Shell-SFT", + project="shell-agent", + name="run_1", + config=RunConfig(), +) + +models["run_2"] = models["run_1"].model_copy(deep=True) +models["run_2"].name = "run_2" +models["run_2"].config.groups_per_step = 8 + +models["run_3"] = models["run_1"].model_copy(deep=True) +models["run_3"].name = "run_3" +models["run_3"].config.groups_per_step = 8 +models["run_3"].config.learning_rate = 5e-6 + + +models["run_4"] = models["run_1"].model_copy(deep=True) +models["run_4"].name = "run_4" +models["run_4"].config.groups_per_step = 4 +models["run_4"].config.rollouts_per_group = 12 \ No newline at end of file diff --git a/examples/rl/benchmark.py b/examples/rl/benchmark.py new file mode 100644 index 0000000..5a9fc71 --- /dev/null +++ b/examples/rl/benchmark.py @@ -0,0 +1,29 @@ +import art +import asyncio +from rollout import rollout_and_score, ShellTrajectory +from load_scenarios import load_scenarios +from tqdm.asyncio import tqdm + +async def benchmark( + model: art.Model, num_scenarios: int, difficulty: None | int = None +) -> tuple[list[ShellTrajectory], float]: + scenarios = load_scenarios(limit=num_scenarios, split="test", difficulty=difficulty) + results: list[ShellTrajectory] = await tqdm.gather( + *[rollout_and_score(model, scenario) for scenario in scenarios], + desc=f"benchmarking {model.name}", + ) + scores = [result.reward for result in results] + accuracy = sum([result.success_condition_passed for result in results])/len(results) + return results, sum(scores) / len(scores) if scores else 0, accuracy + + +async def benchmark_all_models(num_scenarios: int, difficulty: None | int = None) -> dict[str, float]: + model_names = [ + "deathbyknowledge/Qwen2.5-3B-Shell-SFT", + ] + + models = [art.Model(name=name, project="shell-agent-test") for name in model_names] + results = await asyncio.gather( + *[benchmark(model, num_scenarios, difficulty) for model in models] + ) + return {model.name: {"score": score, "accuracy": accuracy} for model, (_results, score, accuracy) in zip(models, results)} diff --git a/examples/rl/load_scenarios.py b/examples/rl/load_scenarios.py new file mode 100644 index 0000000..ffb63fe --- /dev/null +++ b/examples/rl/load_scenarios.py @@ -0,0 +1,43 @@ +from project_types import Scenario +from typing import Optional, Literal +from datasets import load_dataset, Dataset +import random + +HF_REPO_ID = "deathbyknowledge/shell-tasks" + +def load_scenarios( + split: Literal["train", "test"] = "train", + limit: Optional[int] = None, + shuffle: bool = False, + seed: Optional[int] = None, + difficulty: Optional[Literal[1, 2, 3, 4]] = None, +): + dataset: Dataset = load_dataset(HF_REPO_ID, split=split) + + if difficulty is not None: + dataset = dataset.filter(lambda x: x["difficulty_level"] == difficulty) + + if shuffle or (seed is not None): + if seed is not None: + dataset = dataset.shuffle(seed=seed) + else: + dataset = dataset.shuffle() + + # Convert each row (dict) in the dataset to a Scenario object + scenarios = [ + Scenario(id=row['task_id'], task=row['task'], # type: ignore + setup_commands=row['setup_commands'],success_condition=row['success_condition']) # type: ignore + for row in dataset # type: ignore + ] + + if shuffle: + if seed is not None: + rng = random.Random(seed) + rng.shuffle(scenarios) + else: + random.shuffle(scenarios) + + if limit is not None: + return scenarios[:limit] + else: + return scenarios diff --git a/examples/rl/project_types.py b/examples/rl/project_types.py new file mode 100644 index 0000000..38d86a5 --- /dev/null +++ b/examples/rl/project_types.py @@ -0,0 +1,23 @@ +from typing import List, Optional, Literal +from pydantic import BaseModel, Field + +class Message(BaseModel): + role: Literal['assistant', 'user', 'system'] + content: str + +class Scenario(BaseModel): + id: str + task: str + setup_commands: List[str] + success_condition: str + + +class RunConfig(BaseModel): + num_epochs: int = 2 + groups_per_step: int = 12 + validation_frequency: int = 10 + validation_num_scenarios: int = 20 + training_num_scenarios: int = 1000 + rollouts_per_group: int = 8 + learning_rate: float = 1e-5 + difficulty: Optional[Literal[1, 2, 3, 4]] = None diff --git a/examples/rl/pyproject.toml b/examples/rl/pyproject.toml new file mode 100644 index 0000000..7468311 --- /dev/null +++ b/examples/rl/pyproject.toml @@ -0,0 +1,15 @@ +[project] +name = "rl" +version = "0.1.0" +description = "Add your description here" +readme = "README.md" +requires-python = ">=3.10" +dependencies = [ + "asyncio>=4.0.0", + "datasets>=4.0.0", + "httpx>=0.28.1", + "openai>=1.99.6", + "pydantic>=2.11.7", + "rich>=14.1.0", + "tenacity>=9.1.2", +] diff --git a/examples/rl/rollout.py b/examples/rl/rollout.py new file mode 100644 index 0000000..c1cddb7 --- /dev/null +++ b/examples/rl/rollout.py @@ -0,0 +1,169 @@ +import os +import art +from openai import AsyncOpenAI +from rich import print +from typing import List +from tenacity import retry, stop_after_attempt +from sos import SoSClient +from project_types import Scenario, Message + +from dotenv import load_dotenv +load_dotenv() + +LOCAL = os.getenv("LOCAL", "1") == "1" +EPHEMERAL = os.getenv("EPHEMERAL", "1") == "1" +MAX_TURNS = int(os.getenv("MAX_TURNS", "30")) # reasoning counts as 1 turn +MAX_MODEL_TOKENS = int(os.getenv("MAX_MODEL_TOKENS", "32000")) +BASE_URL = os.getenv("BASE_URL", "http://localhost:8000/v1") +API_KEY = os.getenv("API_KEY", "MEOW") +oai = AsyncOpenAI(base_url=BASE_URL, api_key=API_KEY) +sos = SoSClient(server_url="http://localhost:3000") + +class ShellTrajectory(art.Trajectory): + task_id: str + sandbox_id: str + exit_codes: List[int] + success_condition_passed: bool + corrupted: bool + + +async def rollout(model: art.Model, scenario: Scenario) -> ShellTrajectory: + client = model.openai_client() if LOCAL else oai + sandbox_id = await sos.create_sandbox(image="shellm-sandbox:latest", setup_commands=scenario.setup_commands) + traj = ShellTrajectory( + reward=0.0, + messages_and_choices=[], + task_id=scenario.id, + sandbox_id=sandbox_id, + exit_codes=[], + success_condition_passed=False, + corrupted=False, + ) + + system_prompt = scenario.task + + traj.messages_and_choices = [ + {"role": "system", "content": system_prompt } + ] + traj.exit_codes = [] + + await sos.start_sandbox(sandbox_id) + + async def finish_traj(sandbox_id: str, success_command: str) -> bool: + try: + _, code = await sos.exec_command(sandbox_id, success_command, standalone=True) + await sos.stop_sandbox(sandbox_id, remove=EPHEMERAL) + return code == 0 + except Exception as e: + await sos.stop_sandbox(sandbox_id, remove=EPHEMERAL) + print(f"[ {scenario.id} ] Error running success command in sandbox: {e}") + return False + + for _ in range(MAX_TURNS): + @retry(stop=stop_after_attempt(3)) + async def get_response(): + response = await client.chat.completions.create( + messages=traj.messages(), + model=model.name, + temperature=0.7, + top_p=0.95, + max_tokens=512, + frequency_penalty=0.3, + presence_penalty=0.1, + ) + + if not response.choices[0].message.content or response.choices[0].message.content is None: + raise Exception("No response from model") + + return response.choices[0] + + approx_token_count = 0 + for msg in traj.messages(): + approx_token_count += (len(msg['content']) / 4) + if approx_token_count > MAX_MODEL_TOKENS: + await finish_traj(sandbox_id, scenario.success_condition) + traj.success_condition_passed = False + return traj + + response_message = await get_response() + + traj.messages_and_choices.append( + response_message + ) + + cmd = response_message.message.content + + try: + output, exit_code = await sos.exec_command(sandbox_id, cmd) + + traj.messages_and_choices.append( + {"role":"user", "content": output} + ) + + + if "exit" in cmd and not cmd.startswith("#"): + # It's over + if len(cmd) > len("exit 0"): + print(f"Exit cmd: {cmd}") + break + + if exit_code != -1: + traj.exit_codes.append(exit_code) + else: + print("-1 exit code detected") + + except Exception as e: + print(f"Error running command in sandbox: {e}") + output = f"Error running command: {e}" + traj.messages_and_choices.append({"role": "user", "content": output}) + traj.exit_codes.append(-1) + await finish_traj(sandbox_id, scenario.success_condition) + traj.success_condition_passed = False + traj.corrupted = False + return traj + + condition_passed = await finish_traj(sandbox_id, scenario.success_condition) + traj.success_condition_passed = condition_passed + return traj + +async def rollout_and_score( + model: art.Model, scenario: Scenario +) -> ShellTrajectory: + traj = await rollout(model, scenario) + + def check_exit_codes(exit_codes: List[int]) -> float: + r = sum([-0.1 for x in exit_codes if x != 0]) + return r + + def check_success_command(passed: bool) -> float: + r = 1.0 if passed else 0.0 + return r + + def check_turns(messages: List[Message]) -> float: + # The less turns, the better + r = -0.2 if len(messages) > 15 else 0.0 + return r + + + reward = 0.0 + if not traj.corrupted: + try: + reward += check_success_command(traj.success_condition_passed) + if reward > 0.0: + extra_reward = check_exit_codes(traj.exit_codes) + extra_reward += check_turns(traj.messages()) # type: ignore + reward += extra_reward if extra_reward > -0.5 else -0.5 + except Exception as e: + traj.corrupted = True + traj.reward = reward + return traj + + +if __name__ == "__main__": + import asyncio + from load_scenarios import load_scenarios + + scenario = load_scenarios(limit=1)[0] + model = art.Model(name="deathbyknowledge/AFM-4.5B-Shell-SFT", project="shell-agent-test") + traj = asyncio.run(rollout_and_score(model, scenario)) + print(traj.reward) diff --git a/examples/rl/sos.py b/examples/rl/sos.py new file mode 100644 index 0000000..04d33a6 --- /dev/null +++ b/examples/rl/sos.py @@ -0,0 +1,146 @@ +import asyncio +import httpx + +TIMEOUT = 300 + +class SoSAPIError(Exception): + def __init__(self, status_code: int, message: str, endpoint: str): + super().__init__(f"HTTP {status_code} when calling {endpoint}: {message}") + self.status_code = status_code + self.message = message + self.endpoint = endpoint + +class SoSBadRequestError(SoSAPIError): + pass +class SoSNotFoundError(SoSAPIError): + pass +class SoSTimeoutError(SoSAPIError): + pass +class SoSInternalServerError(SoSAPIError): + pass + + +class SoSClient: + def __init__(self, server_url="http://localhost:3000"): + self.server_url = server_url + + def _raise_api_error(self, response: httpx.Response, path: str, context: str | None = None): + status = response.status_code + message = response.text.strip() + if context: + message = f"{context}: {message}" + if status == 400: + raise SoSBadRequestError(status, message, path) + if status == 404: + raise SoSNotFoundError(status, message, path) + if status == 504: + raise SoSTimeoutError(status, message, path) + if status >= 500: + raise SoSInternalServerError(status, message, path) + raise SoSAPIError(status, message, path) + + async def _request(self, method: str, path: str, json: dict | None = None) -> httpx.Response: + url = f"{self.server_url}{path}" + async with httpx.AsyncClient(timeout=TIMEOUT) as client: + response = await client.request(method, url, json=json) + if response.status_code >= 400: + self._raise_api_error(response, path) + return response + + async def create_sandbox(self, image="ubuntu:latest", setup_commands=None): + """ + Creates a new sandbox. + + Args: + image (str): The container image to use. + setup_commands (list): A list of commands to run after the container starts. + Returns: + str: The ID of the created sandbox. + """ + if setup_commands is None: + setup_commands = [] + payload = {"image": image, "setup_commands": setup_commands} + response = await self._request("POST", "/sandboxes", json=payload) + parsed = response.json() + if "id" not in parsed: + raise SoSAPIError(response.status_code, f"Missing id in response: {parsed}", "/sandboxes") + return parsed["id"] + + async def list_sandboxes(self): + """ + Lists all available sandboxes. + + Returns: + list: A list of dictionaries, each containing information about a sandbox. + """ + response = await self._request("GET", "/sandboxes") + return response.json() + + async def start_sandbox(self, sandbox_id): + """ Starts a specific sandbox. """ + await self._request("POST", f"/sandboxes/{sandbox_id}/start") + + async def exec_command(self, sandbox_id, command, standalone=False): + """ + Executes a command in a specific sandbox. + + Args: + sandbox_id (str): The ID of the sandbox to execute the command in. + command (str): The command to execute. + standalone (bool): Whether to execute the command in standalone mode. + + Returns: + tuple[str, int]: The output and exit code from the sandbox. + """ + payload = {"command": command, "standalone": bool(standalone)} + path = f"/sandboxes/{sandbox_id}/exec" + url = f"{self.server_url}{path}" + async with httpx.AsyncClient(timeout=TIMEOUT) as client: + response = await client.post(url, json=payload) + if response.status_code >= 400: + self._raise_api_error(response, path, context=f"command={command}") + parsed = response.json() + if "output" not in parsed or "exit_code" not in parsed: + raise SoSAPIError(response.status_code, f"Missing fields in response: {parsed}", path) + return parsed["output"], parsed["exit_code"] + + async def stop_sandbox(self, sandbox_id, remove=True): + """ + Stops and removes a specific sandbox. + + Args: + sandbox_id (str): The ID of the sandbox to stop. + server_url (str): The base URL of the sandbox server. + """ + await self._request("POST", f"/sandboxes/{sandbox_id}/stop", json={'remove': remove}) + + async def get_sandbox_trajectory(self, sandbox_id, formatted=False): + """ + Gets the trajectory of a specific sandbox. + + Args: + sandbox_id (str): The ID of the sandbox to get the trajectory of. + formatted (bool): Whether to format the trajectory as a list of commands. + """ + response = await self._request("GET", f"/sandboxes/{sandbox_id}/trajectory{'/formatted' if formatted else ''}") + trajectory = response.text if formatted else response.json() + return trajectory + +if __name__ == "__main__": + sos = SoSClient() + async def main(): + sandbox_id = await sos.create_sandbox(image="shellm-sandbox:latest", setup_commands=["echo 'Hello, world!'"]) + try: + await sos.start_sandbox(sandbox_id) + _, code = await sos.exec_command(sandbox_id, "# Let me list the files here") + assert code == 0, "Failed to execute command" + _, code = await sos.exec_command(sandbox_id, "ls -la") + assert code == 0, "Failed to execute command" + trajectory = await sos.get_sandbox_trajectory(sandbox_id, formatted=True) + print(trajectory) + except Exception as e: + print(e) + raise e + finally: + await sos.stop_sandbox(sandbox_id, remove=False) + asyncio.run(main()) diff --git a/examples/rl/train.py b/examples/rl/train.py new file mode 100644 index 0000000..54f3e5f --- /dev/null +++ b/examples/rl/train.py @@ -0,0 +1,72 @@ +import art +from rollout import rollout_and_score +from load_scenarios import load_scenarios +from art.local import LocalBackend +from art.utils import iterate_dataset +from project_types import RunConfig +from benchmark import benchmark + + +async def train(model: art.TrainableModel[RunConfig]): + training_data = load_scenarios(split="train", limit=model.config.training_num_scenarios) + + with LocalBackend() as backend: + await model.register(backend) + + training_iterator = iterate_dataset( + training_data, + groups_per_step=model.config.groups_per_step, + num_epochs=model.config.num_epochs, + initial_step=await model.get_step(), + ) + + for dataset_batch in training_iterator: + batch = dataset_batch.items + global_step = dataset_batch.step + + if global_step % model.config.validation_frequency == 0: + results, score = await benchmark( + model, model.config.validation_num_scenarios, + ) + await model.log(results) + groups = [] + for scenario in batch: + groups.append( + art.TrajectoryGroup( + ( + rollout_and_score(model, scenario) + for _ in range(model.config.rollouts_per_group) + ) + ) + ) + finished_groups = await art.gather_trajectory_groups(groups) + + # Filter out corrupted trajectories from groups + filtered_groups = [] + for group in finished_groups: + filtered_group = [] + for traj in group: + if traj.corrupted: # type: ignore + continue + filtered_group.append(traj) + filtered_groups.append(art.TrajectoryGroup(filtered_group)) + + await model.train( + filtered_groups, + config=art.TrainConfig(learning_rate=model.config.learning_rate), + ) + +if __name__ == "__main__": + import asyncio + from all_experiments import models + import argparse + + parser = argparse.ArgumentParser(description="Train a model") + parser.add_argument( + "--model", + required=True, + help="The key of the model to train as defined in all_experiments.py (e.g. 'run_1')", + ) + args = parser.parse_args() + model = models[args.model] + asyncio.run(train(model)) \ No newline at end of file diff --git a/examples/rl/uv.lock b/examples/rl/uv.lock new file mode 100644 index 0000000..709a8c2 --- /dev/null +++ b/examples/rl/uv.lock @@ -0,0 +1,1552 @@ +version = 1 +revision = 2 +requires-python = ">=3.10" +resolution-markers = [ + "python_full_version >= '3.12'", + "python_full_version == '3.11.*'", + 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+https://arxiv.org/pdf/2507.23751 + +The paper uses a single model to generate and solve tasks (based on some seed tasks), to later train the same model on them. +Instead, I use their method to generate shell tasks so we can later run RL on smaller models with the generated tasks. + +We use SoS to validate the tasks. This script does the following: + 1. Generate a task based on two seed tasks + 2. Start a sandbox, run the setup commands and validate it returns 0 exit code + 3. Run the success condition command and validate it does NOT return 0 exit code (i.e. success condition fails when no actions are taken) + 4. Now that the setup is validates, we generate K rollouts (K concurrent solves) and validate if the success condition passes in at least T of them + 5. If the success condition passes in at least T of them, we save the task and the rollouts +""" + +import os +import re +import json +import uuid +import asyncio +import httpx +from pathlib import Path +from datetime import datetime, timezone +from typing import Any, Dict, List, Tuple, Optional +from rich import print + +from openai import AsyncOpenAI, BaseModel +from datasets import load_dataset, Dataset +from tenacity import retry, stop_after_attempt +from sos import SoSClient + +GENERATION_TEMPLATE = """ +You are a shell task generator assistant. Your goal is to create a novel and challenging shell task for an Ubuntu-like sandbox environment. + +Please follow the steps below to create a synthetic shell task. + +Step 1: Carefully read Seed Task 1 and Seed Task 2. Identify and list all common elements between these tasks (e.g., types of operations, environment assumptions, verification style). If no common elements are found, list the main elements from each task. + +Step 2: Develop a comprehensive plan based on the Common Elements List or Main Elements List from Step 1. This plan will guide the generation of a new synthetic shell task that is similar in quality and complexity to the original tasks, including a task description, setup commands, and success condition. Ensure: + - The setup commands prepare the environment (e.g., create files/directories) and execute successfully. + - The success condition is a single bash command that returns exit code 0 if the task is completed correctly and non-zero initially (before agent actions). + - The task is novel, inspired by but not copying the seeds. + +Step 3: Execute the plan step by step and provide the new synthetic task components. + +Seed Task 1: +Task Description: {task_1} +Setup Commands: {setup_1} +Success Condition: {success_1} + +Seed Task 2: +Task Description: {task_2} +Setup Commands: {setup_2} +Success Condition: {success_2} + +Please reply strictly in the following format: +- Step 1: #Common Elements List# +- Step 2: #Plan# +- Step 3: #Task Description#: [description] + #Setup Commands#: [setup commands, separated by semicolons] + #Success Condition#: [success command] +""" + +SOLVER_TEMPLATE = """ +You are an expert Linux shell user. Your goal is to complete the given task step-by-step. +Given a task and the history of previous turns, provide your reasoning in a 'thought' process +and then provide the single, next shell command to execute as the 'command'. +Pay attention to the output of the previous commands. If it is an error, you should provide a +debugging command to fix the issue and complete the previous turn's goal. +The 'reasoning', while it can be as verbose as you want, should not include newline ` +` characters. +The 'command' should be a valid shell command to input in the terminal. +If the task is complete, the command should be exactly 'exit 0'. + +TASK: {task} +SHELL HISTORY: +{history} + +Please reply strictly in the following format: + #Reasoning#: [reasoning] + #Command#: [command] +""" + + +class ShellTask(BaseModel): + task: str + setup_commands: str + success_condition: str + difficulty_level: int + + +def short_id() -> str: + """uuid4 first 8 hex chars.""" + return uuid.uuid4().hex[:8] + + +def utc_now_iso() -> str: + return datetime.now(timezone.utc).isoformat() + + +def append_jsonl(path: Path, obj: Dict[str, Any]) -> None: + path.parent.mkdir(parents=True, exist_ok=True) + with path.open("a", encoding="utf-8") as f: + f.write(json.dumps({**obj, "setup_commands": [obj["setup_commands"]]}, ensure_ascii=False) + "\n") + + +def load_jsonl(path: Path) -> List[Dict[str, Any]]: + if not path.exists(): + return [] + with path.open("r", encoding="utf-8") as f: + return [json.loads(line) for line in f if line.strip()] + + +def normalize_task_text(s: str) -> str: + return " ".join(s.split()).lower() + + +def get_seed_tasks(dataset: Dataset, difficulty: int, offset: int = 0) -> List[ShellTask]: + tasks = dataset.filter(lambda x: x["difficulty_level"] == difficulty) + tasks = tasks.select(range(offset, offset + 2)) if offset + 2 <= tasks.num_rows else [] + return [ + ShellTask( + task=x["task"], + setup_commands="; ".join(x["setup_commands"]), + success_condition=x["success_condition"], + difficulty_level=difficulty, + ) + for x in tasks + ] + + +@retry(stop=stop_after_attempt(3)) +async def generate_task( + task_1: ShellTask, + task_2: ShellTask, + difficulty_level: int, + *, + temperature: float = 1.0, +) -> ShellTask: + async def generate(template: str) -> str: + messages = [{"role": "user", "content": template}] + async with llm_sem: + response = await client.chat.completions.create( + model=MODEL, + messages=messages, + temperature=temperature, + ) + return response.choices[0].message.content or "" + + def _extract(pattern: str, text: str) -> Optional[str]: + m = re.search(pattern, text, re.DOTALL) + return m.group(1).strip() if m else None + + template = GENERATION_TEMPLATE.format( + task_1=task_1.task, + setup_1=task_1.setup_commands, + success_1=task_1.success_condition, + task_2=task_2.task, + setup_2=task_2.setup_commands, + success_2=task_2.success_condition, + ) + + response = await generate(template) + + task = _extract(r"#Task Description#:(.*?)#Setup Commands#", response) + setup_commands = _extract(r"#Setup Commands#:(.*?)#Success Condition#", response) + success_condition = _extract(r"#Success Condition#:(.*)$", response) + + if not task or not setup_commands or not success_condition: + raise ValueError("Failed to parse task from response") + + return ShellTask( + task=task, + setup_commands=setup_commands, + success_condition=success_condition, + difficulty_level=difficulty_level, + ) + + +async def validate_task_setup(task: ShellTask) -> bool: + """Validate setup commands run and success condition fails initially.""" + async with sos_sem: + sid = await sos.create_sandbox(image="shellm-sandbox:latest", setup_commands=[task.setup_commands]) + try: + await sos.start_sandbox(sid) # Runs the setup commands, will raise if they fail + _, exit_code = await sos.exec_command(sid, task.success_condition, standalone=True) + return exit_code != 0 # Expect failure before agent acts + except Exception as e: + print("setup validation error:", e) + return False + finally: + await sos.stop_sandbox(sid, remove=True) + + +async def validate_task_success( + task: ShellTask, k: int = 4, threshold: float = 0.5 +) -> Tuple[bool, List[Dict[str, Any]]]: + """ + Run K concurrent solve attempts and check if the fraction of successes >= threshold. + Returns: (passed_threshold, rollouts) + rollouts = [{"solved": bool, "history": str}, ...] + """ + attempts = [solve(task) for _ in range(k)] + results = await asyncio.gather(*attempts, return_exceptions=True) + + rollouts: List[Dict[str, Any]] = [] + successes = 0 + + for res in results: + if isinstance(res, Exception): + rollouts.append({"solved": False, "history": f"Exception: {res}"}) + else: + solved, history = res + if solved: + successes += 1 + rollouts.append({"solved": solved, "history": history}) + + passed = (successes / max(k, 1)) >= threshold + return passed, rollouts + + +async def solve(task: ShellTask) -> Tuple[bool, str]: + def parse_reasoning_from_response(response: str) -> Optional[str]: + m = re.search(r"#Reasoning#:(.*)#Command#", response, re.DOTALL) + return m.group(1).strip() if m else None + + def parse_command_from_response(response: str) -> Optional[str]: + m = re.search(r"#Command#:(.*)$", response, re.DOTALL) + return m.group(1).strip() if m else None + + @retry(stop=stop_after_attempt(3)) + async def generate(template: str) -> Tuple[str, str]: + messages = [{"role": "user", "content": template}] + async with llm_sem: + response = await client.chat.completions.create( + model=MODEL, + messages=messages, + temperature=0.7, + ) + message = response.choices[0].message.content + if not message: + raise ValueError("Failed to generate response") + reasoning = parse_reasoning_from_response(message) + command = parse_command_from_response(message) + if reasoning is None or command is None: + raise ValueError("Failed to parse reasoning or command from response") + return reasoning, command + + async with sos_sem: + turn = 0 + MAX_TURNS = 15 + sid = await sos.create_sandbox(image="shellm-sandbox:latest", setup_commands=[task.setup_commands]) + solved = False + history = "First turn, no history available yet." + try: + await sos.start_sandbox(sid) + while turn < MAX_TURNS: + turn += 1 + template = SOLVER_TEMPLATE.format(task=task.task, history=history) + reasoning, command = await generate(template) + # Store reasoning as a comment line to keep a complete trajectory in the sandbox logs + await sos.exec_command(sid, f"# {reasoning}") + await sos.exec_command(sid, command) + history = await sos.get_sandbox_trajectory(sid, formatted=True) + if command == "exit 0": + break + except Exception as e: + print("solver error:", e) + finally: + # history as JSON string for distillation (formatted=False) + traj = await sos.get_sandbox_trajectory(sid, formatted=False) + history = traj['trajectory'] + _, exit_code = await sos.exec_command(sid, task.success_condition, standalone=True) + solved = exit_code == 0 + await sos.stop_sandbox(sid, remove=False) + return solved, history + + +async def process_seed_pair( + seeds: List[ShellTask], + difficulty: int, + k: int, + threshold: float, + save_all_rollouts: bool, + tasks_path: Path, + rollouts_path: Path, + seen_texts: set[str], + counts_by_diff: Dict[int, int], + *, + candidates_per_pair: int = 1, + gen_temperature: float = 1.0, +) -> bool: + """Process one seed pair into up to N validated + persisted candidates. Returns True if saved at least one.""" + saved_any = False + + for _ in range(candidates_per_pair): + try: + candidate = await generate_task( + seeds[0], seeds[1], difficulty, + temperature=gen_temperature, + ) + except Exception as e: + print("generation error:", e) + continue + + nt = normalize_task_text(candidate.task) + + # Reserve this task text to avoid duplicate work across workers + async with seen_lock: + if nt in seen_texts: + print("duplicate task text, skipping") + continue + seen_texts.add(nt) + + # Validate setup + if not await validate_task_setup(candidate): + print("setup invalid, skipping") + async with seen_lock: + seen_texts.discard(nt) + continue + + # Validate solve-ability + passed, rollouts = await validate_task_success(candidate, k=k, threshold=threshold) + if not passed: + print("did not pass success threshold, skipping") + async with seen_lock: + seen_texts.discard(nt) + continue + + # Persist (single-writer section) + task_id = short_id() + task_record = { + "id": task_id, + "task": candidate.task, + "setup_commands": candidate.setup_commands, + "success_condition": candidate.success_condition, + "difficulty_level": candidate.difficulty_level, + "k": k, + "threshold": threshold, + "timestamp": utc_now_iso(), + } + + async with write_lock: + append_jsonl(tasks_path, task_record) + counts_by_diff[difficulty] = counts_by_diff.get(difficulty, 0) + 1 + # Persist rollouts (all or only successful) + for i, r in enumerate(rollouts): + if save_all_rollouts or r.get("solved"): + rollout_record = { + "id": short_id(), + "task_id": task_id, + "attempt": i, + "solved": bool(r.get("solved")), + # history is a JSON string from SoS (formatted=False above) + "history": r.get("history", ""), + "difficulty_level": difficulty, + "timestamp": utc_now_iso(), + } + append_jsonl(rollouts_path, rollout_record) + + print(f"saved task {task_id} (difficulty {difficulty}); total now {counts_by_diff[difficulty]}.") + saved_any = True + + return saved_any + + +async def run_pipeline( + out_dir: str = "out", + tasks_per_difficulty: int = 3, + difficulties: Optional[List[int]] = None, + k: int = 4, + threshold: float = 0.5, + seed_step: int = 2, + save_all_rollouts: bool = False, + *, + candidates_per_pair: int = 1, + gen_temperature: float = 1.0, +) -> None: + out = Path(out_dir) + tasks_path = out / "generated_tasks.jsonl" + rollouts_path = out / "rollouts.jsonl" + + # Load existing tasks and build fast lookups + existing_tasks = load_jsonl(tasks_path) + counts_by_diff: Dict[int, int] = {} + seen_texts: set[str] = set() + for rec in existing_tasks: + d = int(rec.get("difficulty_level", 0)) + counts_by_diff[d] = counts_by_diff.get(d, 0) + 1 + t = rec.get("task", "") + if t: + seen_texts.add(normalize_task_text(t)) + + # discover difficulty levels if not provided + if difficulties is None: + try: + difficulties = sorted(set(dataset["difficulty_level"])) + except Exception: + difficulties = [1, 2, 3, 4] + + for difficulty in difficulties: + target = tasks_per_difficulty + have = counts_by_diff.get(difficulty, 0) + if have >= target: + print(f"=== Difficulty {difficulty}: already have {have}/{target}, skipping ===") + continue + + print(f"=== Difficulty {difficulty}: {have}/{target} so far ===") + offset = 0 + + # Keep going until we reach target for this difficulty + while counts_by_diff.get(difficulty, 0) < target: + # Build a small batch of seed-pairs to try concurrently + batch: List[asyncio.Task] = [] + remaining = target - counts_by_diff.get(difficulty, 0) + to_launch = min(MAX_PARALLEL_CANDIDATES, remaining) + + for _ in range(to_launch): + seeds = get_seed_tasks(dataset, difficulty, offset) + if len(seeds) < 2: + print(f"No more seed pairs at difficulty {difficulty} (offset={offset}).") + break + batch.append( + asyncio.create_task( + process_seed_pair( + seeds, difficulty, k, threshold, save_all_rollouts, + tasks_path, rollouts_path, seen_texts, counts_by_diff, + candidates_per_pair=candidates_per_pair, + gen_temperature=gen_temperature, + ) + ) + ) + offset += seed_step # advance regardless to avoid getting stuck + + if not batch: + break + + # Wait for the batch (errors handled/logged inside the worker) + await asyncio.gather(*batch, return_exceptions=True) + + +BASE_URL = "https://api.deepseek.com/v1" +API_KEY = os.getenv("DEEPSEEK_API_KEY") +MODEL = "deepseek-chat" +MAX_PARALLEL_CANDIDATES = int(os.getenv("MAX_PARALLEL_CANDIDATES", "4")) # seed-pairs processed concurrently per difficulty +LLM_CONCURRENCY = int(os.getenv("LLM_CONCURRENCY", "16")) # max concurrent LLM calls +SANDBOX_CONCURRENCY = int(os.getenv("SANDBOX_CONCURRENCY", "16")) # max live sandboxes total (setup + solves) +CANDIDATES_PER_PAIR = int(os.getenv("CANDIDATES_PER_PAIR", "2")) # how many tasks to generate per seed pair +GEN_TEMPERATURE = float(os.getenv("GEN_TEMPERATURE", "1.0")) # temperature for generation diversity +llm_sem = asyncio.Semaphore(LLM_CONCURRENCY) +sos_sem = asyncio.Semaphore(SANDBOX_CONCURRENCY) +seen_lock = asyncio.Lock() # protects seen_texts set +write_lock = asyncio.Lock() # protects file writes & counters +client = AsyncOpenAI( + base_url=BASE_URL, + api_key=API_KEY, + http_client=httpx.AsyncClient(timeout=60.0), +) +client = AsyncOpenAI(base_url=BASE_URL, api_key=API_KEY) + +dataset = load_dataset("deathbyknowledge/shell-tasks", split="train") +dataset = Dataset.from_list(dataset) +sos = SoSClient(server_url="http://localhost:3000") + +""" +DEEPSEEK_API_KEY="YOUR_KEY" uv run examples/synthetic_generator/generation.py + +Tuning knobs (env vars): +- MAX_PARALLEL_CANDIDATES: parallel seed-pairs per difficulty (default 3) +- LLM_CONCURRENCY: max concurrent chat completions (default 8) +- SANDBOX_CONCURRENCY: max live sandboxes (default 4) +- CANDIDATES_PER_PAIR: number of tasks to generate per seed pair (default 1) +- GEN_TEMPERATURE: generation temperature for diversity (default 1.0) +""" + +if __name__ == "__main__": + async def main(): + # Tune these as needed + await run_pipeline( + out_dir="data", + tasks_per_difficulty=20, + difficulties=[5], + k=4, + threshold=0.5, + seed_step=1, + save_all_rollouts=True, + candidates_per_pair=CANDIDATES_PER_PAIR, + gen_temperature=GEN_TEMPERATURE, + ) + + asyncio.run(main()) \ No newline at end of file diff --git a/examples/synthetic_generator/sos.py b/examples/synthetic_generator/sos.py new file mode 100644 index 0000000..04d33a6 --- /dev/null +++ b/examples/synthetic_generator/sos.py @@ -0,0 +1,146 @@ +import asyncio +import httpx + +TIMEOUT = 300 + +class SoSAPIError(Exception): + def __init__(self, status_code: int, message: str, endpoint: str): + super().__init__(f"HTTP {status_code} when calling {endpoint}: {message}") + self.status_code = status_code + self.message = message + self.endpoint = endpoint + +class SoSBadRequestError(SoSAPIError): + pass +class SoSNotFoundError(SoSAPIError): + pass +class SoSTimeoutError(SoSAPIError): + pass +class SoSInternalServerError(SoSAPIError): + pass + + +class SoSClient: + def __init__(self, server_url="http://localhost:3000"): + self.server_url = server_url + + def _raise_api_error(self, response: httpx.Response, path: str, context: str | None = None): + status = response.status_code + message = response.text.strip() + if context: + message = f"{context}: {message}" + if status == 400: + raise SoSBadRequestError(status, message, path) + if status == 404: + raise SoSNotFoundError(status, message, path) + if status == 504: + raise SoSTimeoutError(status, message, path) + if status >= 500: + raise SoSInternalServerError(status, message, path) + raise SoSAPIError(status, message, path) + + async def _request(self, method: str, path: str, json: dict | None = None) -> httpx.Response: + url = f"{self.server_url}{path}" + async with httpx.AsyncClient(timeout=TIMEOUT) as client: + response = await client.request(method, url, json=json) + if response.status_code >= 400: + self._raise_api_error(response, path) + return response + + async def create_sandbox(self, image="ubuntu:latest", setup_commands=None): + """ + Creates a new sandbox. + + Args: + image (str): The container image to use. + setup_commands (list): A list of commands to run after the container starts. + Returns: + str: The ID of the created sandbox. + """ + if setup_commands is None: + setup_commands = [] + payload = {"image": image, "setup_commands": setup_commands} + response = await self._request("POST", "/sandboxes", json=payload) + parsed = response.json() + if "id" not in parsed: + raise SoSAPIError(response.status_code, f"Missing id in response: {parsed}", "/sandboxes") + return parsed["id"] + + async def list_sandboxes(self): + """ + Lists all available sandboxes. + + Returns: + list: A list of dictionaries, each containing information about a sandbox. + """ + response = await self._request("GET", "/sandboxes") + return response.json() + + async def start_sandbox(self, sandbox_id): + """ Starts a specific sandbox. """ + await self._request("POST", f"/sandboxes/{sandbox_id}/start") + + async def exec_command(self, sandbox_id, command, standalone=False): + """ + Executes a command in a specific sandbox. + + Args: + sandbox_id (str): The ID of the sandbox to execute the command in. + command (str): The command to execute. + standalone (bool): Whether to execute the command in standalone mode. + + Returns: + tuple[str, int]: The output and exit code from the sandbox. + """ + payload = {"command": command, "standalone": bool(standalone)} + path = f"/sandboxes/{sandbox_id}/exec" + url = f"{self.server_url}{path}" + async with httpx.AsyncClient(timeout=TIMEOUT) as client: + response = await client.post(url, json=payload) + if response.status_code >= 400: + self._raise_api_error(response, path, context=f"command={command}") + parsed = response.json() + if "output" not in parsed or "exit_code" not in parsed: + raise SoSAPIError(response.status_code, f"Missing fields in response: {parsed}", path) + return parsed["output"], parsed["exit_code"] + + async def stop_sandbox(self, sandbox_id, remove=True): + """ + Stops and removes a specific sandbox. + + Args: + sandbox_id (str): The ID of the sandbox to stop. + server_url (str): The base URL of the sandbox server. + """ + await self._request("POST", f"/sandboxes/{sandbox_id}/stop", json={'remove': remove}) + + async def get_sandbox_trajectory(self, sandbox_id, formatted=False): + """ + Gets the trajectory of a specific sandbox. + + Args: + sandbox_id (str): The ID of the sandbox to get the trajectory of. + formatted (bool): Whether to format the trajectory as a list of commands. + """ + response = await self._request("GET", f"/sandboxes/{sandbox_id}/trajectory{'/formatted' if formatted else ''}") + trajectory = response.text if formatted else response.json() + return trajectory + +if __name__ == "__main__": + sos = SoSClient() + async def main(): + sandbox_id = await sos.create_sandbox(image="shellm-sandbox:latest", setup_commands=["echo 'Hello, world!'"]) + try: + await sos.start_sandbox(sandbox_id) + _, code = await sos.exec_command(sandbox_id, "# Let me list the files here") + assert code == 0, "Failed to execute command" + _, code = await sos.exec_command(sandbox_id, "ls -la") + assert code == 0, "Failed to execute command" + trajectory = await sos.get_sandbox_trajectory(sandbox_id, formatted=True) + print(trajectory) + except Exception as e: + print(e) + raise e + finally: + await sos.stop_sandbox(sandbox_id, remove=False) + asyncio.run(main()) From 4455f1b4531d76355406d59c365a5a9db5f5e0cd Mon Sep 17 00:00:00 2001 From: Steve James Date: Sat, 9 Aug 2025 22:53:07 +0200 Subject: [PATCH 2/6] fix race condition --- src/lib/sandbox/io.rs | 7 +++++-- src/lib/sandbox/mod.rs | 3 +-- 2 files changed, 6 insertions(+), 4 deletions(-) diff --git a/src/lib/sandbox/io.rs b/src/lib/sandbox/io.rs index 8a193bb..a543f17 100644 --- a/src/lib/sandbox/io.rs +++ b/src/lib/sandbox/io.rs @@ -23,6 +23,7 @@ pub async fn read_stream_until_idle( let start = Instant::now(); let mut markers_seen = 0; + let mut last_count = 0; loop { if start.elapsed().as_secs_f64() > overall_timeout { return Err(ReadError::OverallTimeout); @@ -36,8 +37,10 @@ pub async fn read_stream_until_idle( // split across multiple chunks. This normally happens if the command was multiline. To avoid // having to rely on the idle timeout only to check for markers, we use the number of newlines // in the input command as a hint to how many ouputs we should expect. - if OUTPUT_MARKER_REGEX.is_match(&accumulated) { - markers_seen += 1; + let current_count = OUTPUT_MARKER_REGEX.find_iter(&accumulated).count(); + if current_count > last_count { + markers_seen += current_count - last_count; // More than one marker per chunk is possible + last_count = current_count; if markers_seen >= short_circuit_after_n_markers { break; } diff --git a/src/lib/sandbox/mod.rs b/src/lib/sandbox/mod.rs index 1201f3f..bb3fcc3 100644 --- a/src/lib/sandbox/mod.rs +++ b/src/lib/sandbox/mod.rs @@ -335,7 +335,6 @@ impl Sandbox { self.write_cmd(shell::CONF_CMD.to_string()).await?; - // self.drain(0.5).await?; let _ = self.read_until_idle_after_marker(2.0, 0.1, 1).await?; Ok(()) } @@ -357,7 +356,7 @@ impl Sandbox { // Might not be an exact match but it allows us to cut the timeout short. let n_commands_hint = cmd.split('\n').count(); let output = match self - .read_until_idle_after_marker(2.0, 0.1, n_commands_hint) + .read_until_idle_after_marker(2.0, 0.2, n_commands_hint) .await { Ok(s) => s, From 5218fa31ae2bd890a841050ea67b017d6e794ade Mon Sep 17 00:00:00 2001 From: Steve James Date: Sat, 9 Aug 2025 23:27:50 +0200 Subject: [PATCH 3/6] extra --- examples/rl/all_experiments.py | 13 +++++++++++-- examples/rl/benchmark.py | 14 +++++++++++--- examples/rl/pyproject.toml | 4 ++++ examples/rl/rollout.py | 16 ++++++++++------ examples/rl/train.py | 6 +++--- 5 files changed, 39 insertions(+), 14 deletions(-) diff --git a/examples/rl/all_experiments.py b/examples/rl/all_experiments.py index a4d2601..d920840 100644 --- a/examples/rl/all_experiments.py +++ b/examples/rl/all_experiments.py @@ -8,7 +8,16 @@ base_model="deathbyknowledge/Qwen2.5-3B-Shell-SFT", project="shell-agent", name="run_1", - config=RunConfig(), + config=RunConfig( + groups_per_step=4, + rollouts_per_group=8, + difficulty=1, + num_epochs=2, + learning_rate=1e-5, + validation_frequency=10, + validation_num_scenarios=20, + training_num_scenarios=508, + ), ) models["run_2"] = models["run_1"].model_copy(deep=True) @@ -24,4 +33,4 @@ models["run_4"] = models["run_1"].model_copy(deep=True) models["run_4"].name = "run_4" models["run_4"].config.groups_per_step = 4 -models["run_4"].config.rollouts_per_group = 12 \ No newline at end of file +models["run_4"].config.rollouts_per_group = 12 diff --git a/examples/rl/benchmark.py b/examples/rl/benchmark.py index 5a9fc71..43ce376 100644 --- a/examples/rl/benchmark.py +++ b/examples/rl/benchmark.py @@ -4,6 +4,7 @@ from load_scenarios import load_scenarios from tqdm.asyncio import tqdm + async def benchmark( model: art.Model, num_scenarios: int, difficulty: None | int = None ) -> tuple[list[ShellTrajectory], float]: @@ -13,11 +14,15 @@ async def benchmark( desc=f"benchmarking {model.name}", ) scores = [result.reward for result in results] - accuracy = sum([result.success_condition_passed for result in results])/len(results) + accuracy = sum([result.success_condition_passed for result in results]) / len( + results + ) return results, sum(scores) / len(scores) if scores else 0, accuracy -async def benchmark_all_models(num_scenarios: int, difficulty: None | int = None) -> dict[str, float]: +async def benchmark_all_models( + num_scenarios: int, difficulty: None | int = None +) -> dict[str, float]: model_names = [ "deathbyknowledge/Qwen2.5-3B-Shell-SFT", ] @@ -26,4 +31,7 @@ async def benchmark_all_models(num_scenarios: int, difficulty: None | int = None results = await asyncio.gather( *[benchmark(model, num_scenarios, difficulty) for model in models] ) - return {model.name: {"score": score, "accuracy": accuracy} for model, (_results, score, accuracy) in zip(models, results)} + return { + model.name: {"score": score, "accuracy": accuracy} + for model, (_results, score, accuracy) in zip(models, results) + } diff --git a/examples/rl/pyproject.toml b/examples/rl/pyproject.toml index 7468311..c9db190 100644 --- a/examples/rl/pyproject.toml +++ b/examples/rl/pyproject.toml @@ -9,7 +9,11 @@ dependencies = [ "datasets>=4.0.0", "httpx>=0.28.1", "openai>=1.99.6", + "openpipe-art[backend]>=0.4.4", "pydantic>=2.11.7", "rich>=14.1.0", "tenacity>=9.1.2", + "transformers<4.54.0", + "trl==0.19.1", ] + diff --git a/examples/rl/rollout.py b/examples/rl/rollout.py index c1cddb7..95cfbf7 100644 --- a/examples/rl/rollout.py +++ b/examples/rl/rollout.py @@ -28,8 +28,8 @@ class ShellTrajectory(art.Trajectory): async def rollout(model: art.Model, scenario: Scenario) -> ShellTrajectory: - client = model.openai_client() if LOCAL else oai - sandbox_id = await sos.create_sandbox(image="shellm-sandbox:latest", setup_commands=scenario.setup_commands) + client = model.openai_client() + sandbox_id = await sos.create_sandbox(image="deathbyknowledge/shellm-sandbox:latest", setup_commands=scenario.setup_commands) traj = ShellTrajectory( reward=0.0, messages_and_choices=[], @@ -65,15 +65,19 @@ async def get_response(): response = await client.chat.completions.create( messages=traj.messages(), model=model.name, - temperature=0.7, - top_p=0.95, + # temperature=0.7, + # top_p=0.95, max_tokens=512, - frequency_penalty=0.3, - presence_penalty=0.1, + # frequency_penalty=0.3, + # presence_penalty=0.1, ) if not response.choices[0].message.content or response.choices[0].message.content is None: raise Exception("No response from model") + + if response.usage.completion_tokens == 512: + traj.corrupted = True + response.choices[0].message.content = "exit 0" return response.choices[0] diff --git a/examples/rl/train.py b/examples/rl/train.py index 54f3e5f..899d8d0 100644 --- a/examples/rl/train.py +++ b/examples/rl/train.py @@ -8,7 +8,7 @@ async def train(model: art.TrainableModel[RunConfig]): - training_data = load_scenarios(split="train", limit=model.config.training_num_scenarios) + training_data = load_scenarios(split="train", limit=model.config.training_num_scenarios, difficulty=model.config.difficulty) with LocalBackend() as backend: await model.register(backend) @@ -25,8 +25,8 @@ async def train(model: art.TrainableModel[RunConfig]): global_step = dataset_batch.step if global_step % model.config.validation_frequency == 0: - results, score = await benchmark( - model, model.config.validation_num_scenarios, + results, score, accuracy = await benchmark( + model, model.config.validation_num_scenarios, difficulty=model.config.difficulty ) await model.log(results) groups = [] From 47d1bd4ee4c45595549abdb8548ea2ed9b08f729 Mon Sep 17 00:00:00 2001 From: Steve James Date: Sun, 10 Aug 2025 14:18:27 +0200 Subject: [PATCH 4/6] RL example improvements + signal on session exit --- examples/rl/all_experiments.py | 47 +++-- examples/rl/benchmark.py | 6 +- examples/rl/rollout.py | 334 +++++++++++++++++++-------------- examples/rl/sos.py | 4 +- src/lib/http.rs | 6 +- src/lib/sandbox/io.rs | 19 +- src/lib/sandbox/mod.rs | 100 +++++----- src/lib/sandbox/shell.rs | 5 +- src/lib/sandbox/types.rs | 6 + tests/integration_tests.rs | 35 ++++ 10 files changed, 346 insertions(+), 216 deletions(-) diff --git a/examples/rl/all_experiments.py b/examples/rl/all_experiments.py index d920840..4d7620b 100644 --- a/examples/rl/all_experiments.py +++ b/examples/rl/all_experiments.py @@ -5,8 +5,8 @@ models: dict[str, art.TrainableModel[RunConfig]] = {} models["run_1"] = art.TrainableModel[RunConfig]( - base_model="deathbyknowledge/Qwen2.5-3B-Shell-SFT", - project="shell-agent", + base_model="deathbyknowledge/Qwen2.5-7B-Shell-SFT", + project="sos-shellm-agent", name="run_1", config=RunConfig( groups_per_step=4, @@ -20,17 +20,34 @@ ), ) -models["run_2"] = models["run_1"].model_copy(deep=True) -models["run_2"].name = "run_2" -models["run_2"].config.groups_per_step = 8 - -models["run_3"] = models["run_1"].model_copy(deep=True) -models["run_3"].name = "run_3" -models["run_3"].config.groups_per_step = 8 -models["run_3"].config.learning_rate = 5e-6 - +models["run_2"] = art.TrainableModel[RunConfig]( + base_model="deathbyknowledge/Qwen2.5-7B-Shell-SFT", + project="sos-shellm-agent", + name="run_2", + config=RunConfig( + groups_per_step=8, + rollouts_per_group=8, + difficulty=1, + num_epochs=2, + learning_rate=1e-5, + validation_frequency=20, + validation_num_scenarios=100, + training_num_scenarios=508, + ), +) -models["run_4"] = models["run_1"].model_copy(deep=True) -models["run_4"].name = "run_4" -models["run_4"].config.groups_per_step = 4 -models["run_4"].config.rollouts_per_group = 12 +models["run_3"] = art.TrainableModel[RunConfig]( + base_model="deathbyknowledge/Qwen2.5-7B-Shell-SFT", + project="sos-shellm-agent", + name="run_3", + config=RunConfig( + groups_per_step=8, + rollouts_per_group=8, + difficulty=1, + num_epochs=2, + learning_rate=1e-5, + validation_frequency=50, + validation_num_scenarios=100, + training_num_scenarios=508, + ), +) \ No newline at end of file diff --git a/examples/rl/benchmark.py b/examples/rl/benchmark.py index 43ce376..d5a1b05 100644 --- a/examples/rl/benchmark.py +++ b/examples/rl/benchmark.py @@ -1,6 +1,6 @@ import art import asyncio -from rollout import rollout_and_score, ShellTrajectory +from rollout import RolloutConfig, rollout_and_score, ShellTrajectory from load_scenarios import load_scenarios from tqdm.asyncio import tqdm @@ -10,7 +10,7 @@ async def benchmark( ) -> tuple[list[ShellTrajectory], float]: scenarios = load_scenarios(limit=num_scenarios, split="test", difficulty=difficulty) results: list[ShellTrajectory] = await tqdm.gather( - *[rollout_and_score(model, scenario) for scenario in scenarios], + *[rollout_and_score(model, scenario, config=RolloutConfig(temperature=0.0)) for scenario in scenarios], desc=f"benchmarking {model.name}", ) scores = [result.reward for result in results] @@ -24,7 +24,7 @@ async def benchmark_all_models( num_scenarios: int, difficulty: None | int = None ) -> dict[str, float]: model_names = [ - "deathbyknowledge/Qwen2.5-3B-Shell-SFT", + "deathbyknowledge/Qwen2.5-7B-Shell-SFT", ] models = [art.Model(name=name, project="shell-agent-test") for name in model_names] diff --git a/examples/rl/rollout.py b/examples/rl/rollout.py index 95cfbf7..07eb615 100644 --- a/examples/rl/rollout.py +++ b/examples/rl/rollout.py @@ -1,173 +1,219 @@ +from dataclasses import Field import os import art -from openai import AsyncOpenAI from rich import print from typing import List +from pydantic import BaseModel from tenacity import retry, stop_after_attempt from sos import SoSClient from project_types import Scenario, Message from dotenv import load_dotenv + load_dotenv() LOCAL = os.getenv("LOCAL", "1") == "1" EPHEMERAL = os.getenv("EPHEMERAL", "1") == "1" -MAX_TURNS = int(os.getenv("MAX_TURNS", "30")) # reasoning counts as 1 turn +MAX_TURNS = int(os.getenv("MAX_TURNS", "30")) # reasoning counts as 1 turn MAX_MODEL_TOKENS = int(os.getenv("MAX_MODEL_TOKENS", "32000")) -BASE_URL = os.getenv("BASE_URL", "http://localhost:8000/v1") -API_KEY = os.getenv("API_KEY", "MEOW") -oai = AsyncOpenAI(base_url=BASE_URL, api_key=API_KEY) sos = SoSClient(server_url="http://localhost:3000") + class ShellTrajectory(art.Trajectory): - task_id: str - sandbox_id: str - exit_codes: List[int] - success_condition_passed: bool - corrupted: bool - - -async def rollout(model: art.Model, scenario: Scenario) -> ShellTrajectory: - client = model.openai_client() - sandbox_id = await sos.create_sandbox(image="deathbyknowledge/shellm-sandbox:latest", setup_commands=scenario.setup_commands) - traj = ShellTrajectory( - reward=0.0, - messages_and_choices=[], - task_id=scenario.id, - sandbox_id=sandbox_id, - exit_codes=[], - success_condition_passed=False, - corrupted=False, - ) - - system_prompt = scenario.task - - traj.messages_and_choices = [ - {"role": "system", "content": system_prompt } - ] - traj.exit_codes = [] - - await sos.start_sandbox(sandbox_id) - - async def finish_traj(sandbox_id: str, success_command: str) -> bool: - try: - _, code = await sos.exec_command(sandbox_id, success_command, standalone=True) - await sos.stop_sandbox(sandbox_id, remove=EPHEMERAL) - return code == 0 - except Exception as e: - await sos.stop_sandbox(sandbox_id, remove=EPHEMERAL) - print(f"[ {scenario.id} ] Error running success command in sandbox: {e}") - return False - - for _ in range(MAX_TURNS): - @retry(stop=stop_after_attempt(3)) - async def get_response(): - response = await client.chat.completions.create( - messages=traj.messages(), - model=model.name, - # temperature=0.7, - # top_p=0.95, - max_tokens=512, - # frequency_penalty=0.3, - # presence_penalty=0.1, - ) - - if not response.choices[0].message.content or response.choices[0].message.content is None: - raise Exception("No response from model") - - if response.usage.completion_tokens == 512: - traj.corrupted = True - response.choices[0].message.content = "exit 0" - - return response.choices[0] - - approx_token_count = 0 - for msg in traj.messages(): - approx_token_count += (len(msg['content']) / 4) - if approx_token_count > MAX_MODEL_TOKENS: - await finish_traj(sandbox_id, scenario.success_condition) - traj.success_condition_passed = False - return traj - - response_message = await get_response() - - traj.messages_and_choices.append( - response_message - ) - - cmd = response_message.message.content - - try: - output, exit_code = await sos.exec_command(sandbox_id, cmd) + task_id: str + sandbox_id: str + exit_codes: List[int] + success_condition_passed: bool + corrupted: bool + metrics: dict[str, float] = Field(default_factory=dict) - traj.messages_and_choices.append( - {"role":"user", "content": output} - ) +class RolloutConfig(BaseModel): + max_turns: int = 30 + max_tokens: int = 512 + temperature: float = 1.0 - if "exit" in cmd and not cmd.startswith("#"): - # It's over - if len(cmd) > len("exit 0"): - print(f"Exit cmd: {cmd}") - break - if exit_code != -1: - traj.exit_codes.append(exit_code) - else: - print("-1 exit code detected") - - except Exception as e: - print(f"Error running command in sandbox: {e}") - output = f"Error running command: {e}" - traj.messages_and_choices.append({"role": "user", "content": output}) - traj.exit_codes.append(-1) - await finish_traj(sandbox_id, scenario.success_condition) - traj.success_condition_passed = False - traj.corrupted = False - return traj - - condition_passed = await finish_traj(sandbox_id, scenario.success_condition) - traj.success_condition_passed = condition_passed - return traj +async def rollout( + model: art.Model, scenario: Scenario, config: RolloutConfig = RolloutConfig() +) -> ShellTrajectory: + client = model.openai_client() + sandbox_id = await sos.create_sandbox( + image="deathbyknowledge/shellm-sandbox:latest", + setup_commands=scenario.setup_commands, + ) + traj = ShellTrajectory( + reward=0.0, + messages_and_choices=[], + task_id=scenario.id, + sandbox_id=sandbox_id, + exit_codes=[], + success_condition_passed=False, + corrupted=False, + ) + + system_prompt = scenario.task + + traj.messages_and_choices = [{"role": "system", "content": system_prompt}] + traj.exit_codes = [] + + await sos.start_sandbox(sandbox_id) + + async def finish_traj(sandbox_id: str, success_command: str) -> bool: + try: + _, code = await sos.exec_command( + sandbox_id, success_command, standalone=True + ) + await sos.stop_sandbox(sandbox_id, remove=EPHEMERAL) + return code == 0 + except Exception as e: + await sos.stop_sandbox(sandbox_id, remove=EPHEMERAL) + print(f"[ {scenario.id} ] Error running success command in sandbox: {e}") + return False + + for _ in range(MAX_TURNS): + + @retry(stop=stop_after_attempt(3)) + async def get_response(): + response = await client.chat.completions.create( + messages=traj.messages(), + model=model.name, + temperature=config.temperature, + max_tokens=config.max_tokens, + # top_p=0.95, + # frequency_penalty=0.3, + # presence_penalty=0.1, + ) + + if ( + not response.choices[0].message.content + or response.choices[0].message.content is None + ): + raise Exception("No response from model") + + if response.usage.completion_tokens == 512: + traj.corrupted = True + response.choices[0].message.content = "exit 0" + + return response.choices[0] + + approx_token_count = 0 + for msg in traj.messages(): + approx_token_count += len(msg["content"]) / 4 + if approx_token_count > MAX_MODEL_TOKENS: + await finish_traj(sandbox_id, scenario.success_condition) + traj.success_condition_passed = False + return traj + + response_message = await get_response() + + traj.messages_and_choices.append(response_message) + + cmd = response_message.message.content + + try: + output, exit_code, exited = await sos.exec_command(sandbox_id, cmd) + + traj.messages_and_choices.append({"role": "user", "content": output}) + + if exited: + # It's over + if len(cmd) > len("exit 0"): + print(f"Exit cmd: {cmd}") + break + + if exit_code != -1: + traj.exit_codes.append(exit_code) + else: + print("-1 exit code detected") + + except Exception as e: + print(f"Error running command in sandbox: {e}") + output = f"Error running command: {e}" + traj.messages_and_choices.append({"role": "user", "content": output}) + traj.exit_codes.append(-1) + await finish_traj(sandbox_id, scenario.success_condition) + traj.success_condition_passed = False + traj.corrupted = False + return traj + + condition_passed = await finish_traj(sandbox_id, scenario.success_condition) + traj.success_condition_passed = condition_passed + return traj + async def rollout_and_score( - model: art.Model, scenario: Scenario + model: art.Model, scenario: Scenario, config: RolloutConfig = RolloutConfig() ) -> ShellTrajectory: - traj = await rollout(model, scenario) - - def check_exit_codes(exit_codes: List[int]) -> float: - r = sum([-0.1 for x in exit_codes if x != 0]) - return r - - def check_success_command(passed: bool) -> float: - r = 1.0 if passed else 0.0 - return r - - def check_turns(messages: List[Message]) -> float: - # The less turns, the better - r = -0.2 if len(messages) > 15 else 0.0 - return r - - - reward = 0.0 - if not traj.corrupted: + traj = await rollout(model, scenario, config=config) + + """ + success ∈ [0, 1], T = num_turns + L(T) = 1 / (1 + exp((T - T0) / tau)) (length factor in [0, 1]) + e = #{non-zero exit codes} / max(1, T) (error rate in [0, 1]) + R = success * (1 - alpha_len * (1 - L(T))) - alpha_exit * e - (1 - success) * eps_fail * T + ^ success shaped by turns ^ exit penalty ^ fail per-turn penalty + """ + + def length_factor_logistic(T, T0=15.0, tau=2.5): + import math + + return 1.0 / (1.0 + math.exp((T - T0) / tau)) + + def reward_from_outcome( + success: bool, + turns: int, + nonzero_exit_count: int, + alpha_len=0.4, + alpha_exit=0.1, + eps_fail=0.01, + T0=15.0, + tau=2.5, + ): + T = max(1, int(turns)) + L = length_factor_logistic(T, T0=T0, tau=tau) + e_rate = min(1.0, nonzero_exit_count / T) + + success_term = (1.0 - alpha_len * (1.0 - L)) if success else 0.0 + exit_penalty = alpha_exit * e_rate + fail_penalty = 0 if success else eps_fail * T + traj.metrics["length_factor"] = L + traj.metrics["success_term"] = success_term + traj.metrics["exit_penalty"] = exit_penalty + traj.metrics["fail_penalty"] = fail_penalty + traj.metrics["exit_error_rate"] = e_rate + traj.metrics["success"] = float(success) + traj.metrics["turns"] = float(T) + traj.metrics["nonzero_exit_codes"] = float(nonzero_exit_count) + R = success_term - exit_penalty - fail_penalty + + return max(-1.0, min(1.0, R)) + + num_turns = len([m for m in traj.messages() if m["role"] == "assistant"]) + nonzero_exits = sum(1 for c in traj.exit_codes if c != 0) try: - reward += check_success_command(traj.success_condition_passed) - if reward > 0.0: - extra_reward = check_exit_codes(traj.exit_codes) - extra_reward += check_turns(traj.messages()) # type: ignore - reward += extra_reward if extra_reward > -0.5 else -0.5 + reward = reward_from_outcome( + traj.success_condition_passed, num_turns, nonzero_exits + ) except Exception as e: - traj.corrupted = True - traj.reward = reward - return traj + traj.corrupted = True + reward = 0.0 + traj.reward = reward + return traj if __name__ == "__main__": - import asyncio - from load_scenarios import load_scenarios - - scenario = load_scenarios(limit=1)[0] - model = art.Model(name="deathbyknowledge/AFM-4.5B-Shell-SFT", project="shell-agent-test") - traj = asyncio.run(rollout_and_score(model, scenario)) - print(traj.reward) + import asyncio + from load_scenarios import load_scenarios + + scenario = load_scenarios(limit=1)[0] + model_name = os.getenv("MODEL", "deathbyknowledge/Qwen2.5-7B-Shell-SFT") + model = art.Model( + name=model_name, + project="shell-agent-test", + inference_api_key=os.getenv("INFERENCE_API_KEY", "FAKE_KEY"), + inference_base_url=os.getenv("INFERENCE_BASE_URL", "http://localhost:8000/v1"), + inference_model_name=model_name, + ) + traj = asyncio.run(rollout_and_score(model, scenario)) + print(traj.reward) diff --git a/examples/rl/sos.py b/examples/rl/sos.py index 04d33a6..77b5bad 100644 --- a/examples/rl/sos.py +++ b/examples/rl/sos.py @@ -100,9 +100,9 @@ async def exec_command(self, sandbox_id, command, standalone=False): if response.status_code >= 400: self._raise_api_error(response, path, context=f"command={command}") parsed = response.json() - if "output" not in parsed or "exit_code" not in parsed: + if "output" not in parsed or "exit_code" not in parsed or "exited" not in parsed: raise SoSAPIError(response.status_code, f"Missing fields in response: {parsed}", path) - return parsed["output"], parsed["exit_code"] + return parsed["output"], parsed["exit_code"], parsed["exited"] async def stop_sandbox(self, sandbox_id, remove=True): """ diff --git a/src/lib/http.rs b/src/lib/http.rs index 5add1ab..b6344f4 100644 --- a/src/lib/http.rs +++ b/src/lib/http.rs @@ -30,6 +30,7 @@ impl SandboxError { match self { SandboxError::NotStarted => StatusCode::BAD_REQUEST, SandboxError::AlreadyStarted => StatusCode::BAD_REQUEST, + SandboxError::AlreadyExited => StatusCode::BAD_REQUEST, SandboxError::SetupCommandsFailed(_) => StatusCode::BAD_REQUEST, SandboxError::PullImageFailed { .. } => StatusCode::BAD_REQUEST, SandboxError::StopContainerFailed(_) => StatusCode::BAD_REQUEST, @@ -154,14 +155,15 @@ pub async fn exec_cmd( let mut sandbox_guard = sandbox_arc.lock().await; let standalone = payload.standalone.unwrap_or(false); - let CommandResult { output, exit_code } = match standalone { + let CommandResult { output, exit_code, exited } = match standalone { true => sandbox_guard.exec_standalone_cmd(command).await?, false => sandbox_guard.exec_session_cmd(command).await?, }; Ok(Json(serde_json::json!({ "output": output, - "exit_code": exit_code + "exit_code": exit_code, + "exited": exited }))) } diff --git a/src/lib/sandbox/io.rs b/src/lib/sandbox/io.rs index a543f17..ac6889d 100644 --- a/src/lib/sandbox/io.rs +++ b/src/lib/sandbox/io.rs @@ -1,4 +1,4 @@ -use super::shell::{PS1_MARKER, PS2_MARKER}; +use super::shell::{PS1_MARKER, PS2_MARKER, EXIT_MARKER}; use bytes::Bytes; use futures::{StreamExt, channel::mpsc::UnboundedReceiver}; use strip_ansi_escapes::strip_str; @@ -63,10 +63,23 @@ pub async fn read_stream_until_idle( Ok(accumulated) } -pub fn strip_markers_and_extract_exit_code(output: &str) -> (String, i64) { +pub fn strip_markers_and_extract_exit_code(output: &str) -> (String, i64, bool) { let mut last_exit_code = -1i64; // First remove PS2 markers let mut cleaned = output.replace(&PS2_MARKER, "").to_string(); + // Then remove EXIT markers + let mut exit_marker_seen = false; + if let Some(idx) = cleaned.find(&EXIT_MARKER) { + exit_marker_seen = true; + // Find the last OUTPUT_MARKER_REGEX match after EXIT_MARKER + if let Some(last_marker) = OUTPUT_MARKER_REGEX.find_iter(&cleaned).last() { + // Only include the last marker match itself (not all output up to it) + cleaned = cleaned[..idx].to_string() + last_marker.as_str(); + } else { + // No marker after EXIT_MARKER, just cut at EXIT_MARKER + cleaned = cleaned[..idx].to_string(); + } + } // Then strip output marker (PS1) and extract the exit code let mut matches = OUTPUT_MARKER_REGEX.captures_iter(&cleaned); @@ -83,7 +96,7 @@ pub fn strip_markers_and_extract_exit_code(output: &str) -> (String, i64) { cleaned = cleaned.replace(&PS1_MARKER, ""); cleaned = cleaned.trim_end().to_string(); - (cleaned, last_exit_code) + (cleaned, last_exit_code, exit_marker_seen) } use lazy_static::lazy_static; diff --git a/src/lib/sandbox/mod.rs b/src/lib/sandbox/mod.rs index bb3fcc3..c521107 100644 --- a/src/lib/sandbox/mod.rs +++ b/src/lib/sandbox/mod.rs @@ -257,7 +257,7 @@ impl Sandbox { async fn run_setup_commands(&mut self) -> Result<()> { if !self.setup_commands.is_empty() { - let CommandResult { output, exit_code } = self + let CommandResult { output, exit_code, exited: _ } = self .exec_standalone_cmd(self.setup_commands.clone()) .await?; if exit_code != 0 { @@ -340,61 +340,68 @@ impl Sandbox { } pub async fn exec_session_cmd(&mut self, cmd: String) -> Result { - match self.status { - SandboxStatus::Started(_) => { - let execution_start = Instant::now(); - let mut command_execution = CommandExecution { - command: cmd.clone(), - timestamp: execution_start, - result: None, - }; - - // Write raw command - self.write_cmd(format!("{}\n", &cmd)).await?; - - // Hint how many commands were executed by counting the number of newlines present. - // Might not be an exact match but it allows us to cut the timeout short. - let n_commands_hint = cmd.split('\n').count(); - let output = match self - .read_until_idle_after_marker(2.0, 0.2, n_commands_hint) - .await - { - Ok(s) => s, + let cid = match &self.status { + SandboxStatus::Started(cid) => cid.clone(), + SandboxStatus::Exited(_) => return Err(SandboxError::AlreadyExited), + _ => return Err(SandboxError::NotStarted), + }; + + let execution_start = Instant::now(); + let mut command_execution = CommandExecution { + command: cmd.clone(), + timestamp: execution_start, + result: None, + }; + + // Write raw command + self.write_cmd(format!("{}\n", &cmd)).await?; + + // Hint how many commands were executed by counting the number of newlines present. + // Might not be an exact match but it allows us to cut the timeout short. + let n_commands_hint = cmd.split('\n').count(); + let output = match self + .read_until_idle_after_marker(2.0, 0.2, n_commands_hint) + .await + { + Ok(s) => s, + Err(SandboxError::TimeoutWaitingForMarker(_)) => { + // Step 1: try a newline to complete open constructs + self.write_cmd("\n".to_string()).await?; + match self.read_until_idle_after_marker(2.0, 0.2, 1).await { + Ok(s2) => s2, Err(SandboxError::TimeoutWaitingForMarker(_)) => { - // Step 1: try a newline to complete open constructs - self.write_cmd("\n".to_string()).await?; - match self.read_until_idle_after_marker(2.0, 0.2, 1).await { - Ok(s2) => s2, - Err(SandboxError::TimeoutWaitingForMarker(_)) => { - // Step 2: try Ctrl-D (safe due to 'set -o ignoreeof') - self.write_cmd("\x04".to_string()).await?; - // Final attempt to reach PS1 - self.read_until_idle_after_marker(2.0, 0.2, 1).await? - } - Err(e) => return Err(e), - } + // Step 2: try Ctrl-D (safe due to 'set -o ignoreeof') + self.write_cmd("\x04".to_string()).await?; + // Final attempt to reach PS1 + self.read_until_idle_after_marker(2.0, 0.2, 1).await? } Err(e) => return Err(e), - }; + } + } + Err(e) => return Err(e), + }; - // Find all markers, remove them, and get last exit code (if input included multiple commands) - let (output, exit_code) = io::strip_markers_and_extract_exit_code(&output); + // Find all markers, remove them, and get last exit code (if input included multiple commands) + let (output, exit_code, exit_marker_seen) = + io::strip_markers_and_extract_exit_code(&output); - let result = CommandResult { output, exit_code }; - command_execution.result = Some(result.clone()); - self.trajectory.push(command_execution); + // Session was terminated by a command. + if exit_marker_seen { + self.status = SandboxStatus::Exited(cid.clone()); + } - // Drain any remaining output to next prompt + let result = CommandResult { output, exit_code, exited: exit_marker_seen }; + command_execution.result = Some(result.clone()); + self.trajectory.push(command_execution); - Ok(result) - } - _ => return Err(SandboxError::NotStarted), - } + // Drain any remaining output to next prompt + + Ok(result) } pub async fn exec_standalone_cmd(&mut self, cmd: String) -> Result { let cid = match &self.status { - SandboxStatus::Started(cid) => cid, + SandboxStatus::Started(cid) | SandboxStatus::Exited(cid) => cid, _ => return Err(SandboxError::NotStarted), }; let exec_config = CreateExecOptions { @@ -439,6 +446,7 @@ impl Sandbox { Ok(CommandResult { output: out_str, exit_code, + exited: false }) } @@ -449,7 +457,7 @@ impl Sandbox { return match &self.status { SandboxStatus::Stopped(_) => Err(SandboxError::NotStarted), // Already stopped SandboxStatus::Created => Err(SandboxError::NotStarted), - SandboxStatus::Started(cid) => { + SandboxStatus::Started(cid) | SandboxStatus::Exited(cid) => { // Stop the container but don't remove it let _ = self .docker diff --git a/src/lib/sandbox/shell.rs b/src/lib/sandbox/shell.rs index 0d3b68e..6aa5126 100644 --- a/src/lib/sandbox/shell.rs +++ b/src/lib/sandbox/shell.rs @@ -2,8 +2,11 @@ use const_format::{concatcp, formatcp}; // Change this pub const UNIQUE_MARKER: &str = "TR0N-F1GHTS-4-TH3-U23R2"; + pub const PS1_MARKER: &str = formatcp!("#PS1-{}#:", UNIQUE_MARKER); pub const PS2_MARKER: &str = formatcp!("#PS2-{}#:", UNIQUE_MARKER); +pub const EXIT_MARKER: &str = formatcp!("#EXIT-{}#:", UNIQUE_MARKER); + const PS1: &str = formatcp!("{}$?:", PS1_MARKER); // Also includes the exit code const PS2: &str = formatcp!("{}", PS2_MARKER); @@ -25,7 +28,7 @@ const READONLY_PROMPTS: &str = "readonly PS1; readonly PS2; "; // Overrides the default exit command to not exit the shell. // TODO: echo special marker on exit to terminate the session. -const EXIT_COMMAND: &str = "exit() { return 0; }; export -f exit; "; +const EXIT_COMMAND: &str = formatcp!("exit() {{ echo '{}'; return 0; }}; export -f exit; ", EXIT_MARKER); // Ignore EOF to prevent the shell from exiting when the input stream is closed. const IGNORE_EOF: &str = "set -o ignoreeof; "; diff --git a/src/lib/sandbox/types.rs b/src/lib/sandbox/types.rs index 72c38c9..a3c1bf0 100644 --- a/src/lib/sandbox/types.rs +++ b/src/lib/sandbox/types.rs @@ -10,6 +10,8 @@ pub enum Error { NotStarted, #[error("Sandbox already started")] AlreadyStarted, + #[error("Sandbox session already exited")] + AlreadyExited, #[error("Setup commands failed: {0}")] SetupCommandsFailed(String), #[error("Failed to pull image")] @@ -37,10 +39,12 @@ pub enum Error { TimeoutWaitingForMarker(String), } +// TODO: capture exit code on exit command #[derive(Debug)] pub enum Status { Created, Started(String), // container id + Exited(String), // Session exited but container is still running Stopped(Result<()>), // result of stop } @@ -49,6 +53,7 @@ impl std::fmt::Display for Status { match self { Status::Created => write!(f, "created"), Status::Started(_) => write!(f, "started"), + Status::Exited(_) => write!(f, "exited"), Status::Stopped(_) => write!(f, "stopped"), } } @@ -65,4 +70,5 @@ pub struct CommandExecution { pub struct CommandResult { pub output: String, pub exit_code: i64, + pub exited: bool, } diff --git a/tests/integration_tests.rs b/tests/integration_tests.rs index 6522029..e9494c9 100644 --- a/tests/integration_tests.rs +++ b/tests/integration_tests.rs @@ -528,3 +528,38 @@ async fn test_multiline_commands() { cleanup_sandbox(&client, &base_url, &sandbox_id).await; } + +#[tokio::test] +async fn test_exit_command_response_includes_exit_true() { + let base_url = start_test_server().await; + let client = reqwest::Client::new(); + let sandbox_id = create_and_start_sandbox(&client, &base_url).await; + + let exec_result = execute_command(&client, &base_url, &sandbox_id, "echo hi; exit 7; echo bye", None).await; + assert_eq!( + exec_result.get("exited"), + Some(&serde_json::Value::Bool(true)), + "Response should include 'exit': true for 'echo hi; exit 7; echo bye'" + ); + assert_eq!( + exec_result["output"], "hi", + "Output should include only 'hi'" + ); + + let exec_result = execute_command(&client, &base_url, &sandbox_id, "echo 'Container still running'", Some(true)).await; + assert_eq!( + exec_result["output"], "Container still running\n", + "Output should include 'Container still running'" + ); + assert_eq!( + exec_result["exit_code"], 0, + "Exit code should be 0" + ); + assert_eq!( + exec_result.get("exited"), + Some(&serde_json::Value::Bool(false)), + "Response should include 'exit': false for 'echo 'Container still running'" + ); + + cleanup_sandbox(&client, &base_url, &sandbox_id).await; +} From 03db3c1d58b02ce94a0d164c9b73489ee6bc8842 Mon Sep 17 00:00:00 2001 From: Steve James Date: Mon, 11 Aug 2025 23:26:04 +0200 Subject: [PATCH 5/6] fail on pipe error --- examples/rl/all_experiments.py | 7 ++++--- examples/rl/rollout.py | 18 +++++++++++++----- src/lib/sandbox/shell.rs | 4 ++++ 3 files changed, 21 insertions(+), 8 deletions(-) diff --git a/examples/rl/all_experiments.py b/examples/rl/all_experiments.py index 4d7620b..fd8d865 100644 --- a/examples/rl/all_experiments.py +++ b/examples/rl/all_experiments.py @@ -36,18 +36,19 @@ ), ) +# with h200 models["run_3"] = art.TrainableModel[RunConfig]( base_model="deathbyknowledge/Qwen2.5-7B-Shell-SFT", project="sos-shellm-agent", name="run_3", config=RunConfig( - groups_per_step=8, + groups_per_step=12, rollouts_per_group=8, - difficulty=1, + difficulty=None, num_epochs=2, learning_rate=1e-5, validation_frequency=50, validation_num_scenarios=100, - training_num_scenarios=508, + training_num_scenarios=5000, ), ) \ No newline at end of file diff --git a/examples/rl/rollout.py b/examples/rl/rollout.py index 07eb615..7c43c67 100644 --- a/examples/rl/rollout.py +++ b/examples/rl/rollout.py @@ -25,7 +25,7 @@ class ShellTrajectory(art.Trajectory): exit_codes: List[int] success_condition_passed: bool corrupted: bool - metrics: dict[str, float] = Field(default_factory=dict) + metrics: dict[str, float] = {} class RolloutConfig(BaseModel): @@ -52,16 +52,24 @@ async def rollout( corrupted=False, ) - system_prompt = scenario.task - - traj.messages_and_choices = [{"role": "system", "content": system_prompt}] + system_prompt = """ +[POSIX MODE] +Shell mode is enabled. User streams have been replaced with standard output and standard error streams. +Outputs are not streamed to the user but piped directly to standard input. For reasoning traces, you can prepend with `#` so the shell treats them as comments. +On startup, standard output will print the task. To signal the completion of your run, use `exit 0`. +""" + + traj.messages_and_choices = [ + {"role": "system", "content": system_prompt}, + {"role": "user", "content": scenario.task}, + ] traj.exit_codes = [] await sos.start_sandbox(sandbox_id) async def finish_traj(sandbox_id: str, success_command: str) -> bool: try: - _, code = await sos.exec_command( + _, code, _ = await sos.exec_command( sandbox_id, success_command, standalone=True ) await sos.stop_sandbox(sandbox_id, remove=EPHEMERAL) diff --git a/src/lib/sandbox/shell.rs b/src/lib/sandbox/shell.rs index 6aa5126..5f899d6 100644 --- a/src/lib/sandbox/shell.rs +++ b/src/lib/sandbox/shell.rs @@ -13,6 +13,9 @@ const PS2: &str = formatcp!("{}", PS2_MARKER); // Disables stdin from being echoe back to the terminal. const SILENCE_INPUT: &str = "stty -echo; "; +// Capture exit code of pipes, good for reward shaping. +const FAIL_ON_PIPE_FAILURE: &str = "set -o pipefail; "; + // Disables bracketed paste mode which adds a lot of noise to the output. const DISABLE_BRACKETED_PASTE: &str = "bind 'set enable-bracketed-paste off'; "; @@ -41,6 +44,7 @@ pub const CONF_CMD: &str = concatcp!( SET_PS2, READONLY_PROMPTS, EXIT_COMMAND, + FAIL_ON_PIPE_FAILURE, IGNORE_EOF, "\n" ); From 93472abed0cd3469587c92d2a5ee9271a2f54a11 Mon Sep 17 00:00:00 2001 From: Steve James Date: Tue, 12 Aug 2025 12:37:47 +0200 Subject: [PATCH 6/6] cleanup --- examples/rl/README.md | 20 ++ examples/rl/benchmark.py | 23 +- examples/rl/rollout.py | 26 +- examples/synthetic_generator/generation.py | 300 +++++++++------------ examples/synthetic_generator/sos.py | 4 +- 5 files changed, 183 insertions(+), 190 deletions(-) create mode 100644 examples/rl/README.md diff --git a/examples/rl/README.md b/examples/rl/README.md new file mode 100644 index 0000000..3a8b18f --- /dev/null +++ b/examples/rl/README.md @@ -0,0 +1,20 @@ +Make sure you have `sos serve` running! + +Run training with: +```sh +uv run train --model +``` + +Run benchmark with: +```sh +uv run benchmark +``` + +Define your model configs in `all_experiments.py`. +ENV vars: +``` +EPHEMERAL=1 # Whether to delete and remove the sandbox after it's used. Set to 0 if you want to inspect them afterwards. +MAX_TURNS=30 # Max turns for a rollout +MAX_MODEL_TOKENS=32000 +SHELLM=1 # Whether the model follows standard chat format or SHELLM. +``` \ No newline at end of file diff --git a/examples/rl/benchmark.py b/examples/rl/benchmark.py index d5a1b05..2cc6f72 100644 --- a/examples/rl/benchmark.py +++ b/examples/rl/benchmark.py @@ -3,6 +3,7 @@ from rollout import RolloutConfig, rollout_and_score, ShellTrajectory from load_scenarios import load_scenarios from tqdm.asyncio import tqdm +import os async def benchmark( @@ -10,7 +11,10 @@ async def benchmark( ) -> tuple[list[ShellTrajectory], float]: scenarios = load_scenarios(limit=num_scenarios, split="test", difficulty=difficulty) results: list[ShellTrajectory] = await tqdm.gather( - *[rollout_and_score(model, scenario, config=RolloutConfig(temperature=0.0)) for scenario in scenarios], + *[ + rollout_and_score(model, scenario, config=RolloutConfig(temperature=0.0)) + for scenario in scenarios + ], desc=f"benchmarking {model.name}", ) scores = [result.reward for result in results] @@ -27,7 +31,17 @@ async def benchmark_all_models( "deathbyknowledge/Qwen2.5-7B-Shell-SFT", ] - models = [art.Model(name=name, project="shell-agent-test") for name in model_names] + models = [ + art.Model( + name=name, + project="shell-agent-test", + inference_api_key=os.getenv("INFERENCE_API_KEY", "FAKE_KEY"), + inference_base_url=os.getenv( + "INFERENCE_BASE_URL", "http://localhost:8000/v1" + ), + ) + for name in model_names + ] results = await asyncio.gather( *[benchmark(model, num_scenarios, difficulty) for model in models] ) @@ -35,3 +49,8 @@ async def benchmark_all_models( model.name: {"score": score, "accuracy": accuracy} for model, (_results, score, accuracy) in zip(models, results) } + + +if __name__ == "__main__": + results = asyncio.run(benchmark_all_models(num_scenarios=20)) + print(results) diff --git a/examples/rl/rollout.py b/examples/rl/rollout.py index 7c43c67..2ca8574 100644 --- a/examples/rl/rollout.py +++ b/examples/rl/rollout.py @@ -12,7 +12,7 @@ load_dotenv() -LOCAL = os.getenv("LOCAL", "1") == "1" +SHELLM= os.getenv("SHELLM", "1") == "1" EPHEMERAL = os.getenv("EPHEMERAL", "1") == "1" MAX_TURNS = int(os.getenv("MAX_TURNS", "30")) # reasoning counts as 1 turn MAX_MODEL_TOKENS = int(os.getenv("MAX_MODEL_TOKENS", "32000")) @@ -52,16 +52,17 @@ async def rollout( corrupted=False, ) - system_prompt = """ -[POSIX MODE] -Shell mode is enabled. User streams have been replaced with standard output and standard error streams. -Outputs are not streamed to the user but piped directly to standard input. For reasoning traces, you can prepend with `#` so the shell treats them as comments. -On startup, standard output will print the task. To signal the completion of your run, use `exit 0`. -""" + system_prompt = f""" + [SHELL MODE] + Shell mode is enabled. User streams have been replaced with standard output and standard error streams. + Outputs are not streamed to the user but piped directly to standard input. For reasoning traces, you can prepend with `#` so the shell treats them as comments. + On startup, standard output will print the task. To signal the completion of your run, use `exit 0`. + + TASK: {scenario.task} + """ traj.messages_and_choices = [ - {"role": "system", "content": system_prompt}, - {"role": "user", "content": scenario.task}, + {"role": "system", "content": scenario.task if SHELLM else system_prompt}, ] traj.exit_codes = [] @@ -88,9 +89,6 @@ async def get_response(): model=model.name, temperature=config.temperature, max_tokens=config.max_tokens, - # top_p=0.95, - # frequency_penalty=0.3, - # presence_penalty=0.1, ) if ( @@ -105,9 +103,11 @@ async def get_response(): return response.choices[0] + # TODO: This is a hack to estimate the token count. Find how to get + # the tokenizer from the ART model or get it manually. approx_token_count = 0 for msg in traj.messages(): - approx_token_count += len(msg["content"]) / 4 + approx_token_count += len(msg["content"]) / 3 if approx_token_count > MAX_MODEL_TOKENS: await finish_traj(sandbox_id, scenario.success_condition) traj.success_condition_passed = False diff --git a/examples/synthetic_generator/generation.py b/examples/synthetic_generator/generation.py index 6b57fd0..cbc42d6 100644 --- a/examples/synthetic_generator/generation.py +++ b/examples/synthetic_generator/generation.py @@ -111,7 +111,7 @@ def utc_now_iso() -> str: def append_jsonl(path: Path, obj: Dict[str, Any]) -> None: path.parent.mkdir(parents=True, exist_ok=True) with path.open("a", encoding="utf-8") as f: - f.write(json.dumps({**obj, "setup_commands": [obj["setup_commands"]]}, ensure_ascii=False) + "\n") + f.write(json.dumps(obj, ensure_ascii=False) + "\n") def load_jsonl(path: Path) -> List[Dict[str, Any]]: @@ -149,12 +149,11 @@ async def generate_task( ) -> ShellTask: async def generate(template: str) -> str: messages = [{"role": "user", "content": template}] - async with llm_sem: - response = await client.chat.completions.create( - model=MODEL, - messages=messages, - temperature=temperature, - ) + response = await client.chat.completions.create( + model=MODEL, + messages=messages, + temperature=temperature, + ) return response.choices[0].message.content or "" def _extract(pattern: str, text: str) -> Optional[str]: @@ -189,17 +188,16 @@ def _extract(pattern: str, text: str) -> Optional[str]: async def validate_task_setup(task: ShellTask) -> bool: """Validate setup commands run and success condition fails initially.""" - async with sos_sem: - sid = await sos.create_sandbox(image="shellm-sandbox:latest", setup_commands=[task.setup_commands]) - try: - await sos.start_sandbox(sid) # Runs the setup commands, will raise if they fail - _, exit_code = await sos.exec_command(sid, task.success_condition, standalone=True) - return exit_code != 0 # Expect failure before agent acts - except Exception as e: - print("setup validation error:", e) - return False - finally: - await sos.stop_sandbox(sid, remove=True) + sid = await sos.create_sandbox(image="deathbyknowledge/shellm-sandbox:latest", setup_commands=[task.setup_commands]) + try: + await sos.start_sandbox(sid) # Runs the setup commands, will raise if they fail + _, exit_code, _ = await sos.exec_command(sid, task.success_condition, standalone=True) + return exit_code != 0 # Expect failure before agent acts + except Exception as e: + print("setup validation error:", e) + return False + finally: + await sos.stop_sandbox(sid, remove=True) async def validate_task_success( @@ -241,12 +239,11 @@ def parse_command_from_response(response: str) -> Optional[str]: @retry(stop=stop_after_attempt(3)) async def generate(template: str) -> Tuple[str, str]: messages = [{"role": "user", "content": template}] - async with llm_sem: - response = await client.chat.completions.create( - model=MODEL, - messages=messages, - temperature=0.7, - ) + response = await client.chat.completions.create( + model=MODEL, + messages=messages, + temperature=0.7, + ) message = response.choices[0].message.content if not message: raise ValueError("Failed to generate response") @@ -256,34 +253,33 @@ async def generate(template: str) -> Tuple[str, str]: raise ValueError("Failed to parse reasoning or command from response") return reasoning, command - async with sos_sem: - turn = 0 - MAX_TURNS = 15 - sid = await sos.create_sandbox(image="shellm-sandbox:latest", setup_commands=[task.setup_commands]) - solved = False - history = "First turn, no history available yet." - try: - await sos.start_sandbox(sid) - while turn < MAX_TURNS: - turn += 1 - template = SOLVER_TEMPLATE.format(task=task.task, history=history) - reasoning, command = await generate(template) - # Store reasoning as a comment line to keep a complete trajectory in the sandbox logs - await sos.exec_command(sid, f"# {reasoning}") - await sos.exec_command(sid, command) - history = await sos.get_sandbox_trajectory(sid, formatted=True) - if command == "exit 0": - break - except Exception as e: - print("solver error:", e) - finally: - # history as JSON string for distillation (formatted=False) - traj = await sos.get_sandbox_trajectory(sid, formatted=False) - history = traj['trajectory'] - _, exit_code = await sos.exec_command(sid, task.success_condition, standalone=True) - solved = exit_code == 0 - await sos.stop_sandbox(sid, remove=False) - return solved, history + turn = 0 + MAX_TURNS = 15 + sid = await sos.create_sandbox(image="deathbyknowledge/shellm-sandbox:latest", setup_commands=[task.setup_commands]) + solved = False + history = "First turn, no history available yet." + try: + await sos.start_sandbox(sid) + while turn < MAX_TURNS: + turn += 1 + template = SOLVER_TEMPLATE.format(task=task.task, history=history) + reasoning, command = await generate(template) + # Store reasoning as a comment line to keep a complete trajectory in the sandbox logs + _, _, _ = await sos.exec_command(sid, f"# {reasoning}") + _, _, exited = await sos.exec_command(sid, command) + history = await sos.get_sandbox_trajectory(sid, formatted=True) + if exited: + break + except Exception as e: + print("solver error:", e) + finally: + # history as JSON string for distillation (formatted=False) + traj = await sos.get_sandbox_trajectory(sid, formatted=False) + history = traj['trajectory'] + _, exit_code, _ = await sos.exec_command(sid, task.success_condition, standalone=True) + solved = exit_code == 0 + await sos.stop_sandbox(sid, remove=False) + return solved, history async def process_seed_pair( @@ -301,75 +297,68 @@ async def process_seed_pair( gen_temperature: float = 1.0, ) -> bool: """Process one seed pair into up to N validated + persisted candidates. Returns True if saved at least one.""" - saved_any = False - - for _ in range(candidates_per_pair): - try: - candidate = await generate_task( - seeds[0], seeds[1], difficulty, - temperature=gen_temperature, - ) - except Exception as e: - print("generation error:", e) - continue - - nt = normalize_task_text(candidate.task) - - # Reserve this task text to avoid duplicate work across workers - async with seen_lock: - if nt in seen_texts: - print("duplicate task text, skipping") - continue - seen_texts.add(nt) - # Validate setup - if not await validate_task_setup(candidate): - print("setup invalid, skipping") - async with seen_lock: - seen_texts.discard(nt) - continue - - # Validate solve-ability - passed, rollouts = await validate_task_success(candidate, k=k, threshold=threshold) - if not passed: - print("did not pass success threshold, skipping") - async with seen_lock: - seen_texts.discard(nt) - continue - - # Persist (single-writer section) - task_id = short_id() - task_record = { - "id": task_id, - "task": candidate.task, - "setup_commands": candidate.setup_commands, - "success_condition": candidate.success_condition, - "difficulty_level": candidate.difficulty_level, - "k": k, - "threshold": threshold, - "timestamp": utc_now_iso(), - } - - async with write_lock: - append_jsonl(tasks_path, task_record) - counts_by_diff[difficulty] = counts_by_diff.get(difficulty, 0) + 1 - # Persist rollouts (all or only successful) - for i, r in enumerate(rollouts): - if save_all_rollouts or r.get("solved"): - rollout_record = { - "id": short_id(), - "task_id": task_id, - "attempt": i, - "solved": bool(r.get("solved")), - # history is a JSON string from SoS (formatted=False above) - "history": r.get("history", ""), - "difficulty_level": difficulty, - "timestamp": utc_now_iso(), - } - append_jsonl(rollouts_path, rollout_record) - - print(f"saved task {task_id} (difficulty {difficulty}); total now {counts_by_diff[difficulty]}.") - saved_any = True + try: + candidate = await generate_task( + seeds[0], seeds[1], difficulty, + temperature=gen_temperature, + ) + except Exception as e: + print("generation error:", e) + return False + + nt = normalize_task_text(candidate.task) + + # Reserve this task text to avoid duplicate work across workers + if nt in seen_texts: + print("duplicate task text, skipping") + return False + seen_texts.add(nt) + + # Validate setup + if not await validate_task_setup(candidate): + print("setup invalid, skipping") + seen_texts.discard(nt) + return False + + # Validate solve-ability + passed, rollouts = await validate_task_success(candidate, k=k, threshold=threshold) + if not passed: + print("did not pass success threshold, skipping") + seen_texts.discard(nt) + + # Persist (single-writer section) + task_id = short_id() + task_record = { + "id": task_id, + "task": candidate.task, + "setup_commands": [candidate.setup_commands], + "success_condition": candidate.success_condition, + "difficulty_level": candidate.difficulty_level, + "k": k, + "threshold": threshold, + "timestamp": utc_now_iso(), + } + + append_jsonl(tasks_path, task_record) + counts_by_diff[difficulty] = counts_by_diff.get(difficulty, 0) + 1 + # Persist rollouts (all or only successful) + for i, r in enumerate(rollouts): + if save_all_rollouts or r.get("solved"): + rollout_record = { + "id": short_id(), + "task_id": task_id, + "attempt": i, + "solved": bool(r.get("solved")), + # history is a JSON string from SoS (formatted=False above) + "history": r.get("history", ""), + "difficulty_level": difficulty, + "timestamp": utc_now_iso(), + } + append_jsonl(rollouts_path, rollout_record) + + print(f"saved task {task_id} (difficulty {difficulty}); total now {counts_by_diff[difficulty]}.") + saved_any = True return saved_any @@ -382,9 +371,6 @@ async def run_pipeline( threshold: float = 0.5, seed_step: int = 2, save_all_rollouts: bool = False, - *, - candidates_per_pair: int = 1, - gen_temperature: float = 1.0, ) -> None: out = Path(out_dir) tasks_path = out / "generated_tasks.jsonl" @@ -408,6 +394,7 @@ async def run_pipeline( except Exception: difficulties = [1, 2, 3, 4] + # This is an example script, you'll want to parallelize this for difficulty in difficulties: target = tasks_per_difficulty have = counts_by_diff.get(difficulty, 0) @@ -420,47 +407,20 @@ async def run_pipeline( # Keep going until we reach target for this difficulty while counts_by_diff.get(difficulty, 0) < target: - # Build a small batch of seed-pairs to try concurrently - batch: List[asyncio.Task] = [] - remaining = target - counts_by_diff.get(difficulty, 0) - to_launch = min(MAX_PARALLEL_CANDIDATES, remaining) - - for _ in range(to_launch): - seeds = get_seed_tasks(dataset, difficulty, offset) - if len(seeds) < 2: - print(f"No more seed pairs at difficulty {difficulty} (offset={offset}).") - break - batch.append( - asyncio.create_task( - process_seed_pair( - seeds, difficulty, k, threshold, save_all_rollouts, - tasks_path, rollouts_path, seen_texts, counts_by_diff, - candidates_per_pair=candidates_per_pair, - gen_temperature=gen_temperature, - ) - ) - ) - offset += seed_step # advance regardless to avoid getting stuck - - if not batch: + seeds = get_seed_tasks(dataset, difficulty, offset) + if len(seeds) < 2: + print(f"No more seed pairs at difficulty {difficulty} (offset={offset}).") break - - # Wait for the batch (errors handled/logged inside the worker) - await asyncio.gather(*batch, return_exceptions=True) + await process_seed_pair( + seeds, difficulty, k, threshold, save_all_rollouts, + tasks_path, rollouts_path, seen_texts, counts_by_diff, + ) + offset += seed_step # advance regardless to avoid getting stuck -BASE_URL = "https://api.deepseek.com/v1" -API_KEY = os.getenv("DEEPSEEK_API_KEY") +BASE_URL = os.getenv("BASE_URL", "https://api.deepseek.com/v1") +API_KEY = os.getenv("API_KEY") MODEL = "deepseek-chat" -MAX_PARALLEL_CANDIDATES = int(os.getenv("MAX_PARALLEL_CANDIDATES", "4")) # seed-pairs processed concurrently per difficulty -LLM_CONCURRENCY = int(os.getenv("LLM_CONCURRENCY", "16")) # max concurrent LLM calls -SANDBOX_CONCURRENCY = int(os.getenv("SANDBOX_CONCURRENCY", "16")) # max live sandboxes total (setup + solves) -CANDIDATES_PER_PAIR = int(os.getenv("CANDIDATES_PER_PAIR", "2")) # how many tasks to generate per seed pair -GEN_TEMPERATURE = float(os.getenv("GEN_TEMPERATURE", "1.0")) # temperature for generation diversity -llm_sem = asyncio.Semaphore(LLM_CONCURRENCY) -sos_sem = asyncio.Semaphore(SANDBOX_CONCURRENCY) -seen_lock = asyncio.Lock() # protects seen_texts set -write_lock = asyncio.Lock() # protects file writes & counters client = AsyncOpenAI( base_url=BASE_URL, api_key=API_KEY, @@ -473,29 +433,23 @@ async def run_pipeline( sos = SoSClient(server_url="http://localhost:3000") """ -DEEPSEEK_API_KEY="YOUR_KEY" uv run examples/synthetic_generator/generation.py - -Tuning knobs (env vars): -- MAX_PARALLEL_CANDIDATES: parallel seed-pairs per difficulty (default 3) -- LLM_CONCURRENCY: max concurrent chat completions (default 8) -- SANDBOX_CONCURRENCY: max live sandboxes (default 4) -- CANDIDATES_PER_PAIR: number of tasks to generate per seed pair (default 1) -- GEN_TEMPERATURE: generation temperature for diversity (default 1.0) +API_KEY="YOUR_KEY" BASE_URL="https://api.deepseek.com/v1" uv run examples/synthetic_generator/generation.py + + +Update the dataset to set custom seed tasks. """ +# TODO: dedup if __name__ == "__main__": async def main(): - # Tune these as needed await run_pipeline( out_dir="data", - tasks_per_difficulty=20, - difficulties=[5], + tasks_per_difficulty=2, + difficulties=[1, 2], k=4, threshold=0.5, seed_step=1, save_all_rollouts=True, - candidates_per_pair=CANDIDATES_PER_PAIR, - gen_temperature=GEN_TEMPERATURE, ) asyncio.run(main()) \ No newline at end of file diff --git a/examples/synthetic_generator/sos.py b/examples/synthetic_generator/sos.py index 04d33a6..77b5bad 100644 --- a/examples/synthetic_generator/sos.py +++ b/examples/synthetic_generator/sos.py @@ -100,9 +100,9 @@ async def exec_command(self, sandbox_id, command, standalone=False): if response.status_code >= 400: self._raise_api_error(response, path, context=f"command={command}") parsed = response.json() - if "output" not in parsed or "exit_code" not in parsed: + if "output" not in parsed or "exit_code" not in parsed or "exited" not in parsed: raise SoSAPIError(response.status_code, f"Missing fields in response: {parsed}", path) - return parsed["output"], parsed["exit_code"] + return parsed["output"], parsed["exit_code"], parsed["exited"] async def stop_sandbox(self, sandbox_id, remove=True): """