From e6801208e7897627a3541de85c7a3c36053fc4c1 Mon Sep 17 00:00:00 2001 From: sergiopaniego Date: Wed, 22 Jul 2026 14:38:47 +0200 Subject: [PATCH 01/16] Add Pi coding-agent harness (pi_env) reusing opencode_env sandbox + proxy PiSessionFactory/PiSession/PiConfig mirror the OpenCode primitive: install the pi CLI (Node bootstrap + npm), write models.json pointing at an OpenAI-compatible endpoint, run pi --print --mode json headless, and (transparent_proxy mode) capture per-token logprobs via the shared interception proxy for GRPO. The sandbox backend (HFSandboxBackend) and interception proxy are imported from opencode_env for now; the plan is to consolidate both into openenv.core in a follow-up. Includes builder + factory-lifecycle unit tests. --- envs/pi_env/.dockerignore | 29 ++ envs/pi_env/.gitignore | 12 + envs/pi_env/__init__.py | 37 ++ envs/pi_env/config.py | 60 +++ envs/pi_env/harness.py | 525 ++++++++++++++++++++++++ envs/pi_env/pi_runtime.py | 165 ++++++++ envs/pi_env/pyproject.toml | 41 ++ envs/pi_env/task.py | 43 ++ tests/envs/test_pi_factory_lifecycle.py | 72 ++++ tests/envs/test_pi_runtime.py | 93 +++++ 10 files changed, 1077 insertions(+) create mode 100644 envs/pi_env/.dockerignore create mode 100644 envs/pi_env/.gitignore create mode 100644 envs/pi_env/__init__.py create mode 100644 envs/pi_env/config.py create mode 100644 envs/pi_env/harness.py create mode 100644 envs/pi_env/pi_runtime.py create mode 100644 envs/pi_env/pyproject.toml create mode 100644 envs/pi_env/task.py create mode 100644 tests/envs/test_pi_factory_lifecycle.py create mode 100644 tests/envs/test_pi_runtime.py diff --git a/envs/pi_env/.dockerignore b/envs/pi_env/.dockerignore new file mode 100644 index 000000000..97e814769 --- /dev/null +++ b/envs/pi_env/.dockerignore @@ -0,0 +1,29 @@ +# Don't bloat the build context. Copy only what the runtime needs. +.venv +__pycache__ +**/__pycache__ +*.pyc +*.pyo +.pytest_cache +.mypy_cache +.ruff_cache + +# NEVER ship secrets into the image. The container reads E2B_API_KEY etc. +# from runtime env vars (HF Space secrets, ``docker run -e``). +.env +.env.* + +# Test artifacts and local debug output. +tests/_artifacts/ +*.log +.coverage +htmlcov/ + +# Editor / IDE noise. +.idea +.vscode +.DS_Store + +# Git metadata is unused at runtime. +.git +.gitignore diff --git a/envs/pi_env/.gitignore b/envs/pi_env/.gitignore new file mode 100644 index 000000000..5d5645bba --- /dev/null +++ b/envs/pi_env/.gitignore @@ -0,0 +1,12 @@ +# Tests are dev-only — never ship into the deployable env. +tests/ + +# Local debug artifacts (covered above, kept for clarity). +*.log + +# Local secrets / venv (also covered at repo root, kept here for safety). +.env +.env.* +.venv +__pycache__/ +*.pyc diff --git a/envs/pi_env/__init__.py b/envs/pi_env/__init__.py new file mode 100644 index 000000000..b9f7700e4 --- /dev/null +++ b/envs/pi_env/__init__.py @@ -0,0 +1,37 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the BSD-style license found in the +# LICENSE file in the root directory of this source tree. + +"""Pi environment for OpenEnv. + +Harness primitive that drives one rollout of the ``pi`` coding-agent CLI inside +a sandbox. :class:`PiSessionFactory` / :class:`PiSession` / :class:`PiConfig` +mirror the OpenCode primitive; the sandbox backend and interception proxy are +shared with ``opencode_env`` (to be consolidated into ``openenv.core``). + +See ``harness.py``. +""" + +from opencode_env.sandbox import ( + HFSandboxBackend, + SandboxBackend, + SandboxHandle, +) + +from .config import PiConfig +from .harness import PiSession, PiSessionFactory +from .task import PiTask + +__all__ = [ + # Harness primitive + "PiConfig", + "PiSession", + "PiSessionFactory", + "PiTask", + # Sandbox backend (shared with opencode_env) + "HFSandboxBackend", + "SandboxBackend", + "SandboxHandle", +] diff --git a/envs/pi_env/config.py b/envs/pi_env/config.py new file mode 100644 index 000000000..798e50270 --- /dev/null +++ b/envs/pi_env/config.py @@ -0,0 +1,60 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the BSD-style license found in the +# LICENSE file in the root directory of this source tree. + +"""Configuration model for the Pi harness primitive.""" + +from __future__ import annotations + +from pydantic import BaseModel, Field + + +class PiConfig(BaseModel): + """All configuration required to launch one Pi rollout in a sandbox. + + Pi (the ``pi`` coding-agent CLI) is pointed at an OpenAI-compatible endpoint + via a ``models.json`` provider block written under ``PI_CODING_AGENT_DIR``. + The primitive fills that block from ``base_url`` / ``api_key`` / ``model`` + and runs ``pi --print`` headless. + """ + + # --- LLM endpoint --------------------------------------------------------- + base_url: str + api_key: str = "intercepted" + model: str = "intercepted-model" + request_timeout_ms: int = 600_000 + + # --- Pi CLI --------------------------------------------------------------- + pi_version: str = "latest" + # Provider name registered in models.json and selected via ``--provider``. + provider_name: str = "intercepted" + system_prompt: str | None = None + # Restrict Pi's tools to this allowlist (passed to ``--tools``). ``None`` + # keeps all builtin tools (read/bash/edit/write/grep/find/ls) enabled. + tools: list[str] | None = None + context_window: int = 32_768 + max_tokens: int = 4_096 + + # --- CLI invocation ------------------------------------------------------- + agent_timeout_s: float = 900.0 + extra_env: dict[str, str] = Field(default_factory=dict) + extra_setup_shell: str | None = None + + # --- Sandbox paths -------------------------------------------------------- + # Root directory inside the sandbox where the primitive writes config, task + # files, and logs. Defaults to ``/root`` (the HF sandbox user); override for + # a backend whose home differs. + sandbox_home: str = "/root" + + # --- Transparent-proxy tuning -------------------------------------------- + # Cap ``max_tokens`` / ``max_completion_tokens`` on forwarded requests. Only + # used in ``mode="transparent_proxy"``. ``None`` disables the cap. + proxy_max_tokens_cap: int | None = 16_384 + # Per-turn top-k logprobs the proxy requests from the upstream. + proxy_top_logprobs: int = 5 + # Disable reasoning/thinking mode for Qwen3 / Qwen3.5 models. Proxy sets + # ``extra_body.chat_template_kwargs.enable_thinking=false`` on forwarded + # requests. Ignored by providers that don't support the field. + proxy_disable_thinking: bool = False diff --git a/envs/pi_env/harness.py b/envs/pi_env/harness.py new file mode 100644 index 000000000..933bd0940 --- /dev/null +++ b/envs/pi_env/harness.py @@ -0,0 +1,525 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the BSD-style license found in the +# LICENSE file in the root directory of this source tree. + +"""Pi session factory + session implementation. + +Implements the :class:`ResourceSessionFactory` / :class:`ResourceSession` +contracts from ``openenv.core.harness``. The session wraps one sandbox running +the ``pi`` coding-agent CLI. + +Two operating modes: + + - ``mode="black_box"`` — Pi talks directly to ``config.base_url``. No proxy, + no logprob capture. Use for smoke tests / SFT / eval. + - ``mode="transparent_proxy"`` (default) — an in-sandbox FastAPI proxy sits + between Pi and the upstream LLM. It injects ``logprobs=true`` on every + request and writes per-turn ``(messages, completion_tokens, per_token_logps)`` + to ``proxy_trace.jsonl`` for GRPO consumption. + +Pi is started as a background subprocess via ``pi --print --mode json ...`` and +we poll its exit code. The sandbox backend + interception proxy are shared with +the OpenCode primitive (imported from ``opencode_env.sandbox``); the plan is to +consolidate both into ``openenv.core`` in a follow-up. +""" + +from __future__ import annotations + +import json +import shlex +from pathlib import Path +from typing import Any, Callable, Literal + +import opencode_env +from openenv.core.env_server.mcp_types import Tool +from openenv.core.harness import ( + Message, + ResourceSession, + ResourceSessionFactory, + ToolResult, + VerifyResult, +) +from opencode_env.sandbox.base import BgJob, SandboxBackend, SandboxHandle + +from .config import PiConfig +from .pi_runtime import ( + agent_log_path, + build_env_vars, + build_install_cmd, + build_models_json, + build_run_cmd, + instruction_path, + models_json_path, + node_dir, + pi_bin_path, + proxy_dir, + proxy_log_path, + proxy_source_path, + proxy_trace_path, + system_prompt_path, +) +from .task import PiTask + + +# Mode B proxy port. In-sandbox paths derive from config.sandbox_home (pi_runtime). +_PROXY_PORT = 7000 + +# Shared proxy source, uploaded to proxy_source_path(config) unless already baked in. +_PROXY_SOURCE_PATH = Path(opencode_env.__file__).parent / "sandbox" / "interception.py" + + +Verifier = Callable[[SandboxHandle, PiTask], VerifyResult] + + +class PiSession(ResourceSession): + """One live Pi rollout inside a sandbox. + + The session is created already-running: :meth:`PiSessionFactory.create` + calls :meth:`start_agent` before returning. Typical usage:: + + session = factory.create(task) + session.wait_for_completion() + result = session.verify([]) + session.close() + """ + + def __init__( + self, + *, + sandbox: SandboxHandle, + config: PiConfig, + task: PiTask, + verifier: Verifier | None = None, + proxy_trace_path: str | None = None, + proxy_bg_job: BgJob | None = None, + ) -> None: + self.sandbox = sandbox + self.config = config + self.task = task + self._verifier = verifier + self._bg_job: BgJob | None = None + self._proxy_trace_path = proxy_trace_path + self._proxy_bg_job = proxy_bg_job + + # ------------------------------------------------------------------ + # ResourceSession contract + # ------------------------------------------------------------------ + def initial_messages(self) -> list[Message]: + return [{"role": "user", "content": self.task.instruction}] + + def list_tools(self) -> list[Tool]: + # Pi owns its own tool loop — none are exposed to the harness. + return [] + + def call_tool(self, name: str, arguments: dict[str, Any]) -> ToolResult: + return ToolResult( + error=( + "PiSession does not expose external tool calls; the CLI agent " + "owns its own tool loop." + ) + ) + + def verify( + self, + transcript: list[Message], + final_state: Any | None = None, + ) -> VerifyResult: + if self._verifier is None: + return VerifyResult(env_reward=None, done=True) + return self._verifier(self.sandbox, self.task) + + def close(self) -> None: + if self._bg_job is not None: + try: + self._bg_job.kill() + except Exception: + pass + self._bg_job = None + if self._proxy_bg_job is not None: + try: + self._proxy_bg_job.kill() + except Exception: + pass + self._proxy_bg_job = None + self.sandbox.kill() + + # ------------------------------------------------------------------ + # Pi-specific session API + # ------------------------------------------------------------------ + def start_agent(self) -> None: + """Launch ``pi --print`` as a background subprocess in the sandbox.""" + if self._bg_job is not None: + return + cmd = build_run_cmd(self.config) + envs = build_env_vars(self.config) + self._bg_job = self.sandbox.start_bg(cmd, envs=envs) + + def wait_for_completion(self, timeout_s: float | None = None) -> int: + """Block until the agent exits, returning its exit code.""" + budget = timeout_s if timeout_s is not None else self.config.agent_timeout_s + if self._bg_job is None: + raise RuntimeError("Agent not started; call start_agent() first.") + return self._bg_job.wait(timeout=budget) + + def fetch_trace(self) -> str: + """Return the raw ``pi`` log (JSON-lines, ``--mode json``).""" + return self.sandbox.read_text(agent_log_path(self.config)) + + def fetch_proxy_trace(self) -> list[dict[str, Any]]: + """Return per-turn proxy-captured records (Mode B only). + + Each entry has ``request``, ``response``, ``completion_tokens``, + ``completion_token_ids``, ``per_token_logps``, ``finish_reason``, + and ``latency_s``. Returns ``[]`` in Mode A. + """ + if self._proxy_trace_path is None: + return [] + try: + content = self.sandbox.read_text(self._proxy_trace_path) + except Exception: + return [] + records: list[dict[str, Any]] = [] + for line in content.splitlines(): + line = line.strip() + if not line: + continue + records.append(json.loads(line)) + return records + + +class PiSessionFactory(ResourceSessionFactory): + """Produce isolated per-rollout :class:`PiSession` instances. + + The factory owns sandbox provisioning, Pi install, config injection, and + (Mode B) proxy startup. Each :meth:`create` call returns a fresh sandbox + with a running agent. + """ + + def __init__( + self, + *, + config: PiConfig, + sandbox_backend: SandboxBackend, + mode: Literal["black_box", "transparent_proxy"] = "black_box", + verifier: Verifier | None = None, + install_timeout_s: int = 300, + setup_timeout_s: int = 300, + ) -> None: + if mode not in {"black_box", "transparent_proxy"}: + raise ValueError(f"Unknown mode: {mode!r}") + self._config = config + self._backend = sandbox_backend + self._mode = mode + self._verifier = verifier + self._install_timeout_s = install_timeout_s + self._setup_timeout_s = setup_timeout_s + + def create( + self, + task: Any, + seed: int | None = None, + episode_id: str | None = None, + ) -> PiSession: + import logging + _log = logging.getLogger(__name__) + + pi_task = PiTask.coerce(task) + sandbox_timeout = int(self._config.agent_timeout_s) + 300 + + _log.info( + "factory.create: creating sandbox timeout=%ds mode=%s", + sandbox_timeout, self._mode, + ) + sandbox = self._backend.create( + timeout_s=sandbox_timeout, + metadata={"episode_id": episode_id} if episode_id else None, + ) + sid = ( + getattr(sandbox, "sandbox_id", None) + or getattr(getattr(sandbox, "raw", None), "sandbox_id", "?") + ) + _log.info("factory.create: sandbox=%s — bootstrapping…", sid) + # Any failure past here (bootstrap/proxy/agent) must tear the sandbox down. + try: + self._bootstrap_sandbox(sandbox, pi_task) + + proxy_trace_path_str: str | None = None + proxy_bg_job: BgJob | None = None + if self._mode == "transparent_proxy": + _log.info( + "factory.create: starting interception proxy on :%d → %s", + _PROXY_PORT, self._config.base_url, + ) + proxy_bg_job, base_url_override, proxy_trace_path_str = self._start_proxy( + sandbox + ) + _log.info("factory.create: proxy up at %s", base_url_override) + # Rewrite models.json so Pi points at the proxy instead of the + # upstream directly (the proxy serves /v1/chat/completions). + proxy_cfg = PiConfig( + **{**self._config.model_dump(), "base_url": base_url_override} + ) + sandbox.write_text( + models_json_path(self._config), + build_models_json(proxy_cfg), + ) + + session = PiSession( + sandbox=sandbox, + config=self._config, + task=pi_task, + verifier=self._verifier, + proxy_trace_path=proxy_trace_path_str, + proxy_bg_job=proxy_bg_job, + ) + session.start_agent() + return session + except Exception as exc: + _log.error("factory.create: setup failed, killing sandbox: %r", exc) + try: + sandbox.kill() # best-effort: don't let a cleanup failure mask the root cause + except Exception: + _log.exception("factory.create: sandbox.kill() during cleanup also failed") + raise + + # ------------------------------------------------------------------ + def _wait_for_sandbox_ready( + self, + sandbox: SandboxHandle, + *, + attempts: int = 15, + delay_s: float = 1.0, + ) -> None: + """Probe the sandbox until ``echo ok`` succeeds. + + Some backends return the handle before the guest is fully ready. Issue + ``echo ok`` with short timeouts until it succeeds. Returns silently on + success; raises ``RuntimeError`` on prolonged failure. + """ + import time + + last_err = "" + for _ in range(attempts): + try: + r = sandbox.exec("echo ok", timeout=5) + if r.exit_code == 0 and "ok" in (r.stdout or ""): + return + last_err = (r.stderr or r.stdout or "").strip() or f"exit={r.exit_code}" + except Exception as exc: # noqa: BLE001 + last_err = f"{type(exc).__name__}: {exc}" + time.sleep(delay_s) + raise RuntimeError( + f"sandbox did not become ready within {attempts * delay_s:.0f}s " + f"(last error: {last_err})" + ) + + def _exec_with_retry( + self, + sandbox: SandboxHandle, + cmd: str, + *, + timeout: float, + attempts: int = 3, + backoff_s: float = 3.0, + label: str = "cmd", + ): + """Run ``sandbox.exec`` with exponential backoff on transient failure. + + Transient = ``exit_code != 0`` AND empty stderr (SIGKILL / network blip + signature) OR an exception during exec. Final failure is raised as + ``RuntimeError`` carrying the last exit code + stderr. + """ + import time + + last_stdout = "" + last_stderr = "" + last_exit = 0 + for i in range(attempts): + try: + r = sandbox.exec(cmd, timeout=timeout) + if r.exit_code == 0: + return r + last_stdout = r.stdout or "" + last_stderr = r.stderr or "" + last_exit = r.exit_code + if last_stderr.strip(): + break + except Exception as exc: # noqa: BLE001 + last_stderr = f"{type(exc).__name__}: {exc}" + last_exit = -1 + if i + 1 < attempts: + time.sleep(backoff_s * (2**i)) + raise RuntimeError( + f"{label} failed after {attempts} attempts " + f"(exit={last_exit}, stderr={last_stderr!r}, stdout_tail={last_stdout[-400:]!r})" + ) + + def _pi_already_installed(self, sandbox: SandboxHandle) -> bool: + """Cheap probe — returns True if Pi is on disk in the sandbox. + + Used to skip the slow install step when running against a prebaked + template that already ships Pi. + """ + try: + r = sandbox.exec( + f'export PATH="{node_dir(self._config)}/bin:$PATH" && ' + f"{pi_bin_path(self._config)} --version", + timeout=15, + ) + return r.exit_code == 0 + except Exception: + return False + + def _bootstrap_sandbox( + self, + sandbox: SandboxHandle, + task: PiTask, + ) -> None: + """Install Pi, write config + task files, run optional setup.""" + + # Stage 1: wait for the sandbox to be responsive. + self._wait_for_sandbox_ready(sandbox) + + # Stage 2: install Pi (skipped if a prebaked template already has it). + # npm install over a bootstrapped Node is flaky — retry with backoff. + if not self._pi_already_installed(sandbox): + self._exec_with_retry( + sandbox, + build_install_cmd(self._config), + timeout=self._install_timeout_s, + attempts=3, + backoff_s=3.0, + label="pi install", + ) + + sandbox.write_text( + models_json_path(self._config), + build_models_json(self._config), + ) + sandbox.write_text(instruction_path(self._config), task.instruction) + + if self._config.system_prompt: + sandbox.write_text( + system_prompt_path(self._config), + self._config.system_prompt, + ) + + for remote_path, content in task.upload_files.items(): + sandbox.write_text(remote_path, content) + + if self._config.extra_setup_shell: + self._exec_with_retry( + sandbox, + self._config.extra_setup_shell, + timeout=self._setup_timeout_s, + attempts=2, + backoff_s=2.0, + label="extra_setup_shell", + ) + + if task.setup_shell: + r = sandbox.exec(task.setup_shell, timeout=self._setup_timeout_s) + if r.exit_code != 0: + raise RuntimeError( + f"task.setup_shell failed ({r.exit_code}): {r.stderr}" + ) + + def _start_proxy( + self, + sandbox: SandboxHandle, + ) -> tuple[BgJob, str, str]: + """Install proxy deps + start the proxy as a bg job inside the sandbox. + + Returns ``(proxy_bg_job, base_url_override, proxy_trace_path)``. Skips + the pip install + source-upload steps when the prebaked template already + has them in place. + """ + proxy_already_present = sandbox.exists(proxy_source_path(self._config)) + + if not proxy_already_present: + # Install proxy deps (idempotent on retries). + self._exec_with_retry( + sandbox, + "pip install --quiet 'fastapi>=0.104' 'uvicorn[standard]>=0.24' " + "'httpx>=0.27' 2>&1 | tail -20", + timeout=180, + attempts=3, + backoff_s=2.0, + label="proxy deps install", + ) + # Upload the proxy module into the sandbox. + sandbox.write_text( + proxy_source_path(self._config), + _PROXY_SOURCE_PATH.read_text(), + ) + sandbox.write_text(f"{proxy_dir(self._config)}/__init__.py", "") + + proxy_args = [ + "python", + "interception.py", + "--upstream-url", + self._config.base_url, + "--trace", + proxy_trace_path(self._config), + "--port", + str(_PROXY_PORT), + "--top-logprobs", + str(self._config.proxy_top_logprobs), + ] + if self._config.proxy_max_tokens_cap is not None: + proxy_args.extend( + ["--max-tokens-cap", str(self._config.proxy_max_tokens_cap)] + ) + if self._config.proxy_disable_thinking: + proxy_args.append("--disable-thinking") + # Force the upstream model id on every forwarded request. + if self._config.model: + proxy_args.extend(["--model-override", self._config.model]) + + quoted_proxy_args = " ".join(shlex.quote(arg) for arg in proxy_args) + proxy_cmd = ( + f"cd {shlex.quote(proxy_dir(self._config))} && " + f"{quoted_proxy_args} " + f"> {shlex.quote(proxy_log_path(self._config))} 2>&1" + ) + proxy_env = {"UPSTREAM_API_KEY": self._config.api_key} + proxy_job = sandbox.start_bg(proxy_cmd, envs=proxy_env) + + # Wait for the proxy to start listening. Cold uvicorn boot can take + # anywhere from <1s to ~30s depending on cache state. + import time + + attempts = 120 + interval_s = 0.5 + for _ in range(attempts): + r = sandbox.exec( + f"curl -sf http://127.0.0.1:{_PROXY_PORT}/healthz", + timeout=5, + ) + if r.exit_code == 0: + break + time.sleep(interval_s) + else: + log = "" + try: + log = sandbox.read_text(proxy_log_path(self._config)) + except Exception: + pass + proxy_job.kill() + raise RuntimeError( + f"proxy did not start within {attempts * interval_s:.0f}s. " + f"log:\n{log[-2000:]}" + ) + + base_url_override = f"http://127.0.0.1:{_PROXY_PORT}/v1" + return proxy_job, base_url_override, proxy_trace_path(self._config) + + +__all__ = [ + "PiSession", + "PiSessionFactory", + "PiTask", + "Verifier", +] diff --git a/envs/pi_env/pi_runtime.py b/envs/pi_env/pi_runtime.py new file mode 100644 index 000000000..0678f73c2 --- /dev/null +++ b/envs/pi_env/pi_runtime.py @@ -0,0 +1,165 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the BSD-style license found in the +# LICENSE file in the root directory of this source tree. + +"""Pure builders for Pi sandbox bootstrap artifacts. + +These functions produce the exact files and shell commands the sandbox needs to +run Pi against a configured LLM endpoint. No IO, no sandbox coupling — the +sandbox backend is responsible for writing files and running commands. +""" + +from __future__ import annotations + +import json + +from .config import PiConfig + +# Pi requires Node >= 22.19; bootstrap this version when the image ships none. +_NODE_VERSION = "22.19.0" +# npm package for the Pi coding-agent CLI (project is mid-rename; this name +# resolves to the same tool as ``@earendil-works/pi-coding-agent``). +_PI_NPM_PACKAGE = "@mariozechner/pi-coding-agent" + + +def pi_agent_dir(config: PiConfig) -> str: + return f"{config.sandbox_home}/.pi/agent" + + +def models_json_path(config: PiConfig) -> str: + return f"{pi_agent_dir(config)}/models.json" + + +def instruction_path(config: PiConfig) -> str: + return f"{config.sandbox_home}/task/instruction.md" + + +def system_prompt_path(config: PiConfig) -> str: + return f"{config.sandbox_home}/task/system.md" + + +def agent_log_path(config: PiConfig) -> str: + return f"{config.sandbox_home}/logs/agent/pi.jsonl" + + +def verifier_reward_path(config: PiConfig) -> str: + return f"{config.sandbox_home}/logs/verifier/reward.txt" + + +def workdir_path(config: PiConfig) -> str: + return f"{config.sandbox_home}/workdir" + + +def node_dir(config: PiConfig) -> str: + return f"{config.sandbox_home}/.node" + + +def npm_prefix(config: PiConfig) -> str: + return f"{config.sandbox_home}/.pi-npm" + + +def pi_bin_path(config: PiConfig) -> str: + return f"{npm_prefix(config)}/bin/pi" + + +def proxy_dir(config: PiConfig) -> str: + return f"{config.sandbox_home}/proxy" + + +def proxy_source_path(config: PiConfig) -> str: + return f"{proxy_dir(config)}/interception.py" + + +def proxy_trace_path(config: PiConfig) -> str: + return f"{config.sandbox_home}/logs/agent/proxy_trace.jsonl" + + +def proxy_log_path(config: PiConfig) -> str: + return f"{config.sandbox_home}/logs/agent/proxy.log" + + +def model_id(config: PiConfig) -> str: + """Model id Pi sends upstream. The proxy overrides it with the real model.""" + return config.model.split("/", 1)[-1] + + +def build_models_json(config: PiConfig) -> str: + """Return the serialized ``models.json`` registering one OpenAI-compatible provider.""" + doc = { + "providers": { + config.provider_name: { + "baseUrl": config.base_url, + "api": "openai-completions", + "apiKey": config.api_key, + "models": [ + { + "id": model_id(config), + "name": "Intercepted Model", + "reasoning": False, + "input": ["text"], + "contextWindow": config.context_window, + "maxTokens": config.max_tokens, + "cost": {"input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0}, + } + ], + } + } + } + return json.dumps(doc, indent=2) + + +def build_install_cmd(config: PiConfig) -> str: + """Return the shell command that installs Pi (bootstrapping Node if needed).""" + home = config.sandbox_home + package = _PI_NPM_PACKAGE + if config.pi_version and config.pi_version != "latest": + package = f"{package}@{config.pi_version}" + return ( + "set -e && " + f"mkdir -p {home}/.pi/agent {home}/logs/agent {home}/logs/verifier {home}/task {home}/workdir && " + # Bootstrap Node 22 when the image ships none new enough (pi needs >=22.19). + 'if ! command -v node >/dev/null 2>&1 || ' + '! node -e "process.exit(+process.versions.node.split(\'.\')[0]>=22?0:1)"; then ' + "A=$(uname -m); case $A in x86_64) A=x64;; aarch64|arm64) A=arm64;; esac && " + f"curl -fsSL https://nodejs.org/dist/v{_NODE_VERSION}/node-v{_NODE_VERSION}-linux-$A.tar.xz " + f"| tar -xJ -C {home} && ln -sfn {home}/node-v{_NODE_VERSION}-linux-$A {node_dir(config)}; fi && " + f'export PATH="{node_dir(config)}/bin:$PATH" && ' + f"npm install -g --prefix {npm_prefix(config)} {package} && " + f"{pi_bin_path(config)} --version" + ) + + +def build_run_cmd(config: PiConfig) -> str: + """Return the shell command that launches Pi headless against a task.""" + tools_flag = f"--tools {','.join(config.tools)} " if config.tools else "" + system_flag = ( + f'--system-prompt "$(cat {system_prompt_path(config)})" ' + if config.system_prompt + else "" + ) + return ( + f'export PATH="{node_dir(config)}/bin:$PATH" && ' + f"cd {workdir_path(config)} && " + f"{pi_bin_path(config)} -p --no-session --mode json " + "--no-context-files --no-extensions --no-skills --no-prompt-templates " + f"--provider {config.provider_name} --model {model_id(config)} " + f"{tools_flag}{system_flag}" + f'"$(cat {instruction_path(config)})" ' + f"2>&1 | tee {agent_log_path(config)}" + ).strip() + + +def build_env_vars(config: PiConfig) -> dict[str, str]: + """Return env vars to set on the Pi process. + + The endpoint lives in ``models.json`` (written under ``PI_CODING_AGENT_DIR``), + so no base-url env var is needed. ``PI_OFFLINE`` blocks startup network ops + (telemetry / version / model-list refresh) without affecting model calls. + """ + env = dict(config.extra_env) + env["PI_CODING_AGENT_DIR"] = pi_agent_dir(config) + env["PI_OFFLINE"] = "1" + env["PI_SKIP_VERSION_CHECK"] = "1" + return env diff --git a/envs/pi_env/pyproject.toml b/envs/pi_env/pyproject.toml new file mode 100644 index 000000000..8b2055b65 --- /dev/null +++ b/envs/pi_env/pyproject.toml @@ -0,0 +1,41 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the BSD-style license found in the +# LICENSE file in the root directory of this source tree. + +[build-system] +requires = ["setuptools>=45", "wheel"] +build-backend = "setuptools.build_meta" + +[project] +name = "openenv-pi-env" +version = "0.1.0" +description = "Pi coding-agent environment for OpenEnv — runs the Pi CLI in a sandbox against any OpenAI-compatible LLM, optionally capturing per-token logprobs." +requires-python = ">=3.10" +dependencies = [ + # Core OpenEnv (server + MCP + harness runtime). + "openenv>=0.3.0", + "pydantic>=2.0.0", + "httpx>=0.27.0", + # >=1.22 ships huggingface_hub.Sandbox (HFSandboxBackend); core only floors 0.20. + "huggingface_hub>=1.22", + # Shared sandbox backend + interception proxy live in opencode_env for now + # (plan: consolidate into openenv.core). Install it from the same repo: + # pip install "openenv-opencode-env @ git+https://github.com/huggingface/OpenEnv.git#subdirectory=envs/opencode_env" +] + +[project.optional-dependencies] +dev = [ + "pytest>=8.0.0", + "pytest-asyncio>=0.23.0", + "pytest-cov>=4.0.0", +] + +[tool.setuptools] +include-package-data = true +packages = ["pi_env"] +package-dir = { "pi_env" = "." } + +[tool.setuptools.package-data] +pi_env = ["**/*.md"] diff --git a/envs/pi_env/task.py b/envs/pi_env/task.py new file mode 100644 index 000000000..997ace688 --- /dev/null +++ b/envs/pi_env/task.py @@ -0,0 +1,43 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the BSD-style license found in the +# LICENSE file in the root directory of this source tree. + +"""Task payload accepted by :class:`PiSessionFactory`.""" + +from __future__ import annotations + +from typing import Any + +from pydantic import BaseModel, Field + + +class PiTask(BaseModel): + """One task for a Pi rollout. + + The primitive only needs ``instruction`` (the prompt handed to ``pi``). + Callers may attach ``setup_shell`` (run once inside the sandbox before the + agent starts) and ``upload_files`` (written into the sandbox at absolute + paths). Any additional metadata belongs in ``metadata`` and is passed + through to the verifier untouched. + """ + + instruction: str + setup_shell: str | None = None + upload_files: dict[str, str] = Field(default_factory=dict) + metadata: dict[str, Any] = Field(default_factory=dict) + + @classmethod + def coerce(cls, value: Any) -> "PiTask": + """Accept a bare string, a dict, or an existing ``PiTask``.""" + if isinstance(value, cls): + return value + if isinstance(value, str): + return cls(instruction=value) + if isinstance(value, dict): + return cls(**value) + raise TypeError( + f"Cannot coerce {type(value).__name__} to PiTask; " + "pass a str, dict, or PiTask." + ) diff --git a/tests/envs/test_pi_factory_lifecycle.py b/tests/envs/test_pi_factory_lifecycle.py new file mode 100644 index 000000000..a81952a81 --- /dev/null +++ b/tests/envs/test_pi_factory_lifecycle.py @@ -0,0 +1,72 @@ +# SPDX-License-Identifier: BSD-3-Clause + +"""PiSessionFactory.create() must tear the sandbox down on any post-provision failure.""" + +from __future__ import annotations + +import os +import sys + +import pytest + +_REPO_ROOT = os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "..")) +for _p in (_REPO_ROOT, os.path.join(_REPO_ROOT, "envs")): + if _p not in sys.path: + sys.path.insert(0, _p) + +from pi_env.config import PiConfig # noqa: E402 +from pi_env.harness import PiSessionFactory # noqa: E402 + + +class _FakeSandbox: + def __init__(self): + self.sandbox_id = "fake" + self.killed = False + + def kill(self): + self.killed = True + + +class _FakeBackend: + def __init__(self, sandbox): + self._sandbox = sandbox + + def create(self, **kwargs): + return self._sandbox + + +def _factory(sandbox): + return PiSessionFactory( + config=PiConfig(base_url="http://localhost:8000/v1"), + sandbox_backend=_FakeBackend(sandbox), + ) + + +def test_create_kills_sandbox_when_bootstrap_fails(monkeypatch): + sandbox = _FakeSandbox() + factory = _factory(sandbox) + monkeypatch.setattr( + factory, + "_bootstrap_sandbox", + lambda *a, **k: (_ for _ in ()).throw(RuntimeError("boom")), + ) + with pytest.raises(RuntimeError, match="boom"): + factory.create("write a function") + assert sandbox.killed is True + + +def test_create_preserves_root_cause_if_kill_also_fails(monkeypatch): + class _KillRaises(_FakeSandbox): + def kill(self): + raise RuntimeError("kill failed") + + sandbox = _KillRaises() + factory = _factory(sandbox) + monkeypatch.setattr( + factory, + "_bootstrap_sandbox", + lambda *a, **k: (_ for _ in ()).throw(RuntimeError("boom")), + ) + # The original bootstrap failure must surface, not the cleanup error. + with pytest.raises(RuntimeError, match="boom"): + factory.create("write a function") diff --git a/tests/envs/test_pi_runtime.py b/tests/envs/test_pi_runtime.py new file mode 100644 index 000000000..f9806282d --- /dev/null +++ b/tests/envs/test_pi_runtime.py @@ -0,0 +1,93 @@ +# SPDX-License-Identifier: BSD-3-Clause + +"""Pure-builder tests for the Pi harness runtime (no sandbox required).""" + +from __future__ import annotations + +import json +import os +import sys + +_REPO_ROOT = os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "..")) +for _p in (_REPO_ROOT, os.path.join(_REPO_ROOT, "envs")): + if _p not in sys.path: + sys.path.insert(0, _p) + +from pi_env.config import PiConfig # noqa: E402 +from pi_env import pi_runtime as rt # noqa: E402 + + +def _cfg(**kw) -> PiConfig: + base = dict(base_url="http://127.0.0.1:7000/v1", model="Qwen/Qwen3-4B-Instruct-2507") + base.update(kw) + return PiConfig(**base) + + +def test_model_id_strips_provider_prefix(): + assert rt.model_id(_cfg()) == "Qwen3-4B-Instruct-2507" + assert rt.model_id(_cfg(model="bare")) == "bare" + + +def test_models_json_registers_openai_compatible_provider(): + cfg = _cfg(provider_name="intercepted", api_key="k", context_window=4096, max_tokens=512) + doc = json.loads(rt.build_models_json(cfg)) + provider = doc["providers"]["intercepted"] + assert provider["api"] == "openai-completions" + assert provider["baseUrl"] == "http://127.0.0.1:7000/v1" + assert provider["apiKey"] == "k" + model = provider["models"][0] + assert model["id"] == "Qwen3-4B-Instruct-2507" + assert model["contextWindow"] == 4096 + assert model["maxTokens"] == 512 + # Pi requires a cost block on custom models. + assert set(model["cost"]) == {"input", "output", "cacheRead", "cacheWrite"} + + +def test_install_cmd_bootstraps_node_and_installs_pi(): + cmd = rt.build_install_cmd(_cfg(sandbox_home="/root")) + assert "command -v node" in cmd # bootstrap guard + assert "nodejs.org/dist/v22.19.0" in cmd + assert "npm install -g --prefix /root/.pi-npm @mariozechner/pi-coding-agent" in cmd + assert cmd.strip().endswith("/root/.pi-npm/bin/pi --version") + + +def test_install_cmd_pins_version(): + cmd = rt.build_install_cmd(_cfg(pi_version="0.73.0")) + assert "@mariozechner/pi-coding-agent@0.73.0" in cmd + + +def test_run_cmd_is_headless_json_and_points_at_provider(): + cfg = _cfg(sandbox_home="/root", tools=["read", "bash"]) + cmd = rt.build_run_cmd(cfg) + for flag in ("-p", "--no-session", "--mode json", "--no-context-files"): + assert flag in cmd + assert "--provider intercepted --model Qwen3-4B-Instruct-2507" in cmd + assert "--tools read,bash" in cmd + assert '"$(cat /root/task/instruction.md)"' in cmd + assert "tee /root/logs/agent/pi.jsonl" in cmd + + +def test_run_cmd_omits_tools_flag_when_unset(): + assert "--tools" not in rt.build_run_cmd(_cfg(tools=None)) + + +def test_run_cmd_includes_system_prompt_when_set(): + cmd = rt.build_run_cmd(_cfg(system_prompt="be terse", sandbox_home="/root")) + assert '--system-prompt "$(cat /root/task/system.md)"' in cmd + + +def test_env_vars_isolate_agent_dir_and_disable_startup_network(): + env = rt.build_env_vars(_cfg(sandbox_home="/root")) + assert env["PI_CODING_AGENT_DIR"] == "/root/.pi/agent" + assert env["PI_OFFLINE"] == "1" + assert env["PI_SKIP_VERSION_CHECK"] == "1" + + +def test_paths_derive_from_sandbox_home(): + cfg = _cfg(sandbox_home="/home/user") + assert rt.models_json_path(cfg) == "/home/user/.pi/agent/models.json" + assert rt.instruction_path(cfg) == "/home/user/task/instruction.md" + assert rt.agent_log_path(cfg) == "/home/user/logs/agent/pi.jsonl" + assert rt.pi_bin_path(cfg) == "/home/user/.pi-npm/bin/pi" + assert rt.proxy_trace_path(cfg) == "/home/user/logs/agent/proxy_trace.jsonl" + assert rt.node_dir(cfg) == "/home/user/.node" From 38876d29378a6c9c800510ef097870e790b6bb29 Mon Sep 17 00:00:00 2001 From: sergiopaniego Date: Wed, 22 Jul 2026 15:43:07 +0200 Subject: [PATCH 02/16] Add deployable HTTP env layer to pi_env (parity with opencode_env) Mirrors opencode_env's second layer so pi_env is both an in-process harness primitive and a deployable OpenEnv environment: PiEnv MCP client + FastAPI server (PiEnvironment with the run_rollout tool, task catalog, Gradio UI) + Dockerfile + openenv.yaml. HF sandbox (image, HF_TOKEN) replaces E2B (template, E2B_API_KEY); in-sandbox paths are /root; the sandbox backend and interception proxy are imported from opencode_env. Adds uv.lock and the pi-env server-image entry to docker-build.yml. --- .github/workflows/docker-build.yml | 3 + envs/pi_env/README.md | 223 ++ envs/pi_env/__init__.py | 31 +- envs/pi_env/client.py | 169 ++ envs/pi_env/models.py | 93 + envs/pi_env/openenv.yaml | 6 + envs/pi_env/pyproject.toml | 24 +- envs/pi_env/server/Dockerfile | 78 + envs/pi_env/server/__init__.py | 7 + envs/pi_env/server/app.py | 118 + envs/pi_env/server/catalog.py | 149 ++ envs/pi_env/server/gradio_ui.py | 551 +++++ envs/pi_env/server/pi_environment.py | 507 ++++ envs/pi_env/uv.lock | 3417 ++++++++++++++++++++++++++ 14 files changed, 5368 insertions(+), 8 deletions(-) create mode 100644 envs/pi_env/README.md create mode 100644 envs/pi_env/client.py create mode 100644 envs/pi_env/models.py create mode 100644 envs/pi_env/openenv.yaml create mode 100644 envs/pi_env/server/Dockerfile create mode 100644 envs/pi_env/server/__init__.py create mode 100644 envs/pi_env/server/app.py create mode 100644 envs/pi_env/server/catalog.py create mode 100644 envs/pi_env/server/gradio_ui.py create mode 100644 envs/pi_env/server/pi_environment.py create mode 100644 envs/pi_env/uv.lock diff --git a/.github/workflows/docker-build.yml b/.github/workflows/docker-build.yml index 80342bdf4..34ca8f74f 100644 --- a/.github/workflows/docker-build.yml +++ b/.github/workflows/docker-build.yml @@ -112,6 +112,9 @@ jobs: - name: opencode-sandbox dockerfile: envs/opencode_env/sandbox/hf_image/Dockerfile context: envs/opencode_env + - name: pi-env + dockerfile: envs/pi_env/server/Dockerfile + context: envs/pi_env - name: openapp-env dockerfile: envs/openapp_env/server/Dockerfile context: envs/openapp_env diff --git a/envs/pi_env/README.md b/envs/pi_env/README.md new file mode 100644 index 000000000..d2e13d2a6 --- /dev/null +++ b/envs/pi_env/README.md @@ -0,0 +1,223 @@ +--- +title: Pi Environment Server +emoji: 🥧 +colorFrom: pink +colorTo: purple +sdk: docker +pinned: false +app_port: 8000 +base_path: /web +tags: + - openenv +short_description: Pi coding agent in a Hugging Face sandbox with logprob capture +--- + +# Pi Environment for OpenEnv + +`pi_env` runs the [Pi](https://github.com/badlogic/pi-mono) coding agent +inside an isolated [Hugging Face sandbox](https://huggingface.co/docs/huggingface_hub/guides/sandboxes) +against any OpenAI-compatible LLM endpoint, optionally capturing per-token +logprobs for GRPO training. + +It mirrors [`opencode_env`](../opencode_env): same two-layer design (an +in-process harness primitive + a deployable HTTP env), same transparent-proxy +logprob capture, same uniform `(instruction, setup, verify)` Task shape. The +agent is Pi instead of OpenCode, and the default sandbox backend is Hugging +Face instead of E2B. + +The env is **task-agnostic** — every rollout is configured at call-time +with a uniform Task shape: + + - **`instruction`** — prompt for the agent + - **`setup`** — list of bash commands run *before* the agent (pip install, + git clone, file downloads — anything you need staged in the sandbox) + - **`verify`** — list of bash commands run *after* the agent (asserts, + pytest invocations, score-file writes) + +Reward = `passed_verify / total_verify` unless any `verify` command writes +a float to `/root/logs/verifier/reward.txt` (override). + +## In-process primitive (no HTTP) + +For trainers that drive a sandbox directly without an HTTP boundary — this is +what loop-owning GRPO training uses: + +```python +import os +from pi_env import PiConfig, PiSessionFactory, PiTask, HFSandboxBackend + +factory = PiSessionFactory( + config=PiConfig( + base_url="https://api.openai.com/v1", + api_key=os.environ["OPENAI_API_KEY"], + model="gpt-4o-mini", + sandbox_home="/root", # HF sandbox execs as root + ), + sandbox_backend=HFSandboxBackend(image="python:3.12"), + mode="transparent_proxy", # captures per-token logprobs +) +session = factory.create(task=PiTask(instruction="...")) +session.wait_for_completion() +turns = session.fetch_proxy_trace() # per-turn (tokens, logprobs) +session.close() +``` + +Pi is pointed at the endpoint via a `models.json` provider block written under +`PI_CODING_AGENT_DIR` (`api: openai-completions`), then launched headless with +`pi --print --no-session --mode json`. In `transparent_proxy` mode the +in-sandbox proxy fronts `base_url`, injects `logprobs=true`, and writes each +turn's `(messages, completion_token_ids, per_token_logps)` to +`proxy_trace.jsonl`. + +### Sandbox backend + +`HFSandboxBackend` (from `opencode_env.sandbox`, shared with `opencode_env`) +runs the agent in a Hugging Face sandbox. `image="python:3.12"` cold-installs +Node 22 (bootstrapped) + the Pi CLI (`npm install -g @mariozechner/pi-coding-agent`) ++ the proxy's Python deps on every rollout. Any backend satisfying the +`SandboxBackend` / `SandboxHandle` / `BgJob` protocols in +`opencode_env.sandbox.base` can be plugged in the same way. + +> The sandbox backend and interception proxy live in `opencode_env` for now; +> the plan is to consolidate both into `openenv.core` so `pi_env` and +> `opencode_env` share them without a cross-package import. + +## Deployed env (HTTP) + +The deployed Space exposes: + +- **Web UI** at `/web` — pick endpoint, write task, hit Run, watch live phase + log + reward + logprobs. +- **MCP tool API** at `/mcp` — programmatic `run_rollout` calls. +- **OpenAPI docs** at `/docs`, **health** at `/health`. + +```python +import os +from pi_env import PiEnv + +with PiEnv(base_url="https://-pi-env.hf.space") as env: + env.reset() + result = env.run_rollout( + endpoint="openai", # vllm | openai | hf_router + api_key=os.environ["OPENAI_API_KEY"], # or set as a Space secret + instruction=( + "Create binary_search.py exposing def binary_search(arr, target) -> int " + "that returns the index of target in arr, or -1 if absent." + ), + setup=[], + verify=[ + "test -f /root/workdir/binary_search.py", + "python -c \"import sys; sys.path.insert(0, '/root/workdir'); " + "import binary_search; " + "assert binary_search.binary_search([1,2,3], 2) == 1; print('OK')\"", + ], + task_id="binary_search_v1", + ) + print("reward:", result.reward) + print("turns:", len(result.proxy_turns)) +``` + +## The MCP Tool: `run_rollout` + +Single tool, two ways to specify the LLM endpoint: + +**Option A — endpoint shorthand (recommended)**: pass `endpoint="vllm"` (or +`"openai"` / `"hf_router"`). The server resolves `base_url`, `api_key`, and +`model` from env vars + catalog defaults. Any explicit field overrides. + +**Option B — fully explicit**: pass `base_url` + `api_key` + `model` directly. + +| Arg | Type | Default | Notes | +|---|---|---|---| +| `endpoint` | `str` | `""` | One of `"vllm"` / `"openai"` / `"hf_router"`. | +| `base_url` / `api_key` / `model` | `str` | `""` | Override / supply explicitly. | +| `instruction` | `str` | required | Prompt passed to `pi`. | +| `setup` | `list[str]` | `[]` | Bash commands run **before** the agent. | +| `verify` | `list[str]` | `[]` | Bash commands run **after** the agent. | +| `task_id` | `str` | `""` | Echoed back in result. | +| `mode` | `str` | `"transparent_proxy"` | Or `"black_box"` (no logprobs). | +| `disable_thinking` | `bool \| None` | `None` (catalog default) | Inject `chat_template_kwargs.enable_thinking=false`. | +| `max_tokens_cap` | `int` | `4096` | Per-turn `max_tokens` clamp. | +| `top_logprobs` | `int` | `5` | HF Router cap is 5; OpenAI 0–20; vLLM unbounded. | +| `agent_timeout_s` | `float` | `600.0` | Hard wall budget for one `pi` run. | +| `image` | `str` | `""` | HF sandbox image; blank → `python:3.12` (cold-installs Node + Pi). | + +Returns `RolloutResult` JSON with: `reward`, `setup_results[]`, +`verify_results[]`, `proxy_turns[]`, `files{}`, `agent_log_tail`, +`proxy_log_tail`, `wall_s`, `agent_exit_code`, `sandbox_id`, `error`. + +## Two Operating Modes + +| Mode | What it does | Best for | +|---|---|---| +| **`transparent_proxy`** (default) | In-sandbox proxy at `localhost:7000` forwards Pi's LLM calls to `base_url`, injects `logprobs=true`, captures per-turn `(messages, completion_tokens, logprobs)` to `proxy_trace.jsonl`. | GRPO / RL training, observability, top-k distillation. | +| **`black_box`** | No proxy. Pi talks straight to `base_url`. | Smoke tests, eval, SFT data collection. | + +## Building the Docker Image + +```bash +cd envs/pi_env + +openenv validate # check pyproject.toml + openenv.yaml + server/app.py + uv.lock +openenv build -t pi-env # builds the image (uses server/Dockerfile) + +# run locally with an HF token (Sandbox + Jobs access) +docker run -p 8000:8000 -e HF_TOKEN=hf_... pi-env +``` + +Or build directly: + +```bash +docker build -t pi-env -f envs/pi_env/server/Dockerfile envs/pi_env +``` + +## Environment Variables + +| Variable | Required | Purpose | +|---|---|---| +| `HF_TOKEN` | **yes** for any rollout | Hugging Face sandbox credentials. | +| `MAX_CONCURRENT_ENVS` | no | Env-instance pool size. Default `4`. | +| `ENABLE_WEB_INTERFACE` | no | Set `false` to disable the `/web` Gradio mount. Default `true`. | +| `VLLM_URL` / `VLLM_API_KEY` / `VLLM_MODEL` | for `endpoint="vllm"` | OAI-compatible base URL (key defaults to `intercepted`). | +| `OPENAI_API_KEY` / `OPENAI_BASE_URL` / `OPENAI_MODEL` | for `endpoint="openai"` | Standard OpenAI. | +| `HF_ROUTER_API_KEY` / `HF_ROUTER_BASE_URL` / `HF_ROUTER_MODEL` | for `endpoint="hf_router"` | HF Router. | + +Pick `provider:` suffixes that actually return logprobs: +**Together / Nscale / Scaleway / SambaNova / Cerebras**. Avoid Novita / +Hyperbolic / Featherless (silent drop) and Groq (HTTP 400). + +## Project Structure + +``` +pi_env/ +├── README.md # this file +├── openenv.yaml # OpenEnv space spec +├── pyproject.toml # deps + ``server`` entrypoint +├── __init__.py # re-exports primitive + client + models +│ +├── client.py # PiEnv(MCPToolClient) +├── models.py # RolloutResult / RolloutTurn / PiState +│ +├── config.py # PiConfig (primitive) +├── harness.py # PiSession / PiSessionFactory (CLI-only) +├── pi_runtime.py # models.json builder + install/run cmds +├── task.py # PiTask +│ +└── server/ + ├── __init__.py + ├── app.py # FastAPI factory; mounts Gradio at /web + ├── pi_environment.py # MCPEnvironment with single ``run_rollout`` tool + ├── gradio_ui.py # the /web Gradio Blocks UI + ├── catalog.py # endpoint shorthand resolver + └── Dockerfile # multi-stage uv build (used by ``openenv build``) +``` + +The sandbox backend + interception proxy are imported from +[`opencode_env.sandbox`](../opencode_env/sandbox); `pi_env` ships no `sandbox/` +of its own. + +## References + +- [OpenEnv docs](https://huggingface.co/docs/openenv) +- [Pi coding agent](https://github.com/badlogic/pi-mono) +- [Hugging Face sandboxes](https://huggingface.co/docs/huggingface_hub/guides/sandboxes) diff --git a/envs/pi_env/__init__.py b/envs/pi_env/__init__.py index b9f7700e4..623294947 100644 --- a/envs/pi_env/__init__.py +++ b/envs/pi_env/__init__.py @@ -6,12 +6,19 @@ """Pi environment for OpenEnv. -Harness primitive that drives one rollout of the ``pi`` coding-agent CLI inside -a sandbox. :class:`PiSessionFactory` / :class:`PiSession` / :class:`PiConfig` -mirror the OpenCode primitive; the sandbox backend and interception proxy are -shared with ``opencode_env`` (to be consolidated into ``openenv.core``). +Two layers in this package: -See ``harness.py``. +1. **Harness primitive** — :class:`PiSessionFactory` / :class:`PiSession` / + :class:`PiConfig` / :class:`PiTask`. Used in-process to drive one rollout + inside a sandbox. See ``harness.py``. + +2. **Deployable env** — :class:`PiEnv` (MCP client) talks to the FastAPI + server at ``server/app.py`` over HTTP. Use this when the sandbox + agent + live behind an HTTP boundary (e.g. an HF Space). See ``client.py`` and + ``server/``. + +The sandbox backend and interception proxy are shared with ``opencode_env`` +(to be consolidated into ``openenv.core``). """ from opencode_env.sandbox import ( @@ -20,11 +27,25 @@ SandboxHandle, ) +from .client import PiEnv from .config import PiConfig from .harness import PiSession, PiSessionFactory +from .models import ( + CommandResult, + PiState, + RolloutResult, + RolloutTurn, +) from .task import PiTask __all__ = [ + # Deployed-env client + "PiEnv", + # HTTP API models + "CommandResult", + "PiState", + "RolloutResult", + "RolloutTurn", # Harness primitive "PiConfig", "PiSession", diff --git a/envs/pi_env/client.py b/envs/pi_env/client.py new file mode 100644 index 000000000..9cbf34b8d --- /dev/null +++ b/envs/pi_env/client.py @@ -0,0 +1,169 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the BSD-style license found in the +# LICENSE file in the root directory of this source tree. + +"""Client for the deployed pi_env server. + +The server exposes a single MCP tool ``run_rollout`` that runs one Pi +rollout in a Hugging Face sandbox and returns a JSON-serialized +:class:`RolloutResult`. + +Example:: + + from pi_env import PiEnv + + with PiEnv(base_url="https://-pi-env.hf.space") as env: + env.reset() + result = env.run_rollout( + base_url="https://api.openai.com/v1", + api_key=os.environ["OPENAI_API_KEY"], + model="gpt-4o-mini", + instruction="Create binary_search.py exposing def binary_search(arr, target) -> int...", + setup=[], + verify=["python /root/test.py"], + task_id="binary_search_v1", + ) + print(result.reward, len(result.proxy_turns)) +""" + +from __future__ import annotations + +import json +from typing import Any + +from openenv.core.mcp_client import MCPToolClient + +try: + from .models import RolloutResult +except ImportError: # pragma: no cover + from models import RolloutResult # type: ignore + + +class PiEnv(MCPToolClient): + """Typed client for the pi_env MCP server. + + Inherits ``reset`` / ``call_tool`` / ``list_tools`` / ``from_docker_image`` + / context-manager semantics from :class:`MCPToolClient`. + """ + + def run_rollout( + self, + *, + # Endpoint — pass either the shorthand selector OR explicit fields. + endpoint: str = "", # "vllm" | "openai" | "hf_router" + base_url: str = "", + api_key: str = "", + model: str = "", + # Task — the "list of bash commands" shape + instruction: str, + setup: list[str] | None = None, + verify: list[str] | None = None, + # Bookkeeping / tunables + task_id: str = "", + mode: str = "transparent_proxy", + disable_thinking: bool | None = None, + max_tokens_cap: int = 4096, + top_logprobs: int = 5, + agent_timeout_s: float = 600.0, + image: str = "", + ) -> RolloutResult: + """Run one Pi rollout and return the typed result. + + Args: + base_url: OpenAI-compatible LLM endpoint (with trailing /v1). + api_key: Bearer token for the LLM. Use ``"intercepted"`` for vLLM + if it doesn't enforce auth. + model: Model id understood by the LLM endpoint + (e.g. ``"gpt-4o-mini"``, ``"Qwen/Qwen3.5-4B"``, + ``"Qwen/Qwen3-4B-Instruct-2507:nscale"``). + instruction: Prompt passed to ``pi``. + setup: Bash commands run sequentially **before** the agent starts. + Each command runs in the sandbox; non-zero exit aborts setup. + verify: Bash commands run sequentially **after** the agent exits. + Reward = ``passed_count / total`` unless any command writes a + float to ``/root/logs/verifier/reward.txt`` (override). + task_id: Echoed back in the result for traceability. + mode: ``"transparent_proxy"`` (captures per-token logprobs via + an in-sandbox FastAPI proxy) or ``"black_box"`` (no proxy). + disable_thinking: Inject + ``chat_template_kwargs.enable_thinking=false`` on forwarded + requests. Needed for Qwen3.5 vLLM; harmless on Instruct + variants; rejected by OpenAI direct. + max_tokens_cap: Clamp on per-turn ``max_tokens``. gpt-4o-mini + caps at 16k; keep this under the endpoint's limit. + top_logprobs: Top-k logprobs requested upstream. HF Router caps + at 5; OpenAI accepts up to 20; vLLM is unbounded. + agent_timeout_s: Hard wall-clock budget for one ``pi`` run. + image: Hugging Face sandbox image. Empty string uses the default + (``python:3.12``, which cold-installs Node + Pi per rollout). + + Returns: + A :class:`RolloutResult` with reward, per-turn logprobs, file + outputs, setup/verify results, and diagnostic tails. + """ + raw = self.call_tool( + "run_rollout", + endpoint=endpoint, + base_url=base_url, + api_key=api_key, + model=model, + instruction=instruction, + setup=list(setup or []), + verify=list(verify or []), + task_id=task_id, + mode=mode, + disable_thinking=disable_thinking, + max_tokens_cap=max_tokens_cap, + top_logprobs=top_logprobs, + agent_timeout_s=agent_timeout_s, + image=image, + ) + return RolloutResult.model_validate_json(_extract_text(raw)) + + +def _extract_text(result: Any) -> str: + """Pull the JSON text out of whatever shape the MCP layer returns. + + Handles the three shapes :meth:`MCPToolClient.call_tool` may surface: + a raw string, a ``CallToolObservation``-like object with + ``.result.content[0].text``, or a dict with ``content[0]["text"]``. + """ + if isinstance(result, str): + return result + + inner = getattr(result, "result", None) + if inner is not None: + content = getattr(inner, "content", None) + if content: + first = content[0] + text = getattr(first, "text", None) + if isinstance(text, str): + return text + if isinstance(first, dict) and "text" in first: + return first["text"] + + if isinstance(result, dict): + content = result.get("content") + if isinstance(content, list) and content: + first = content[0] + if isinstance(first, dict) and "text" in first: + return first["text"] + nested = result.get("result") + if isinstance(nested, dict): + content = nested.get("content") + if isinstance(content, list) and content: + first = content[0] + if isinstance(first, dict) and "text" in first: + return first["text"] + return json.dumps(result, default=str) + + content = getattr(result, "content", None) + if content: + first = content[0] + text = getattr(first, "text", None) + if isinstance(text, str): + return text + + return str(result) diff --git a/envs/pi_env/models.py b/envs/pi_env/models.py new file mode 100644 index 000000000..a5daad18b --- /dev/null +++ b/envs/pi_env/models.py @@ -0,0 +1,93 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the BSD-style license found in the +# LICENSE file in the root directory of this source tree. + +"""Pydantic models for the deployed pi_env HTTP server. + +The server exposes a single MCP tool ``run_rollout`` that takes a Task +(instruction + setup commands + verify commands) plus an LLM endpoint +config, runs one Pi rollout end-to-end inside a Hugging Face sandbox, and +returns a :class:`RolloutResult` JSON. +""" + +from __future__ import annotations + +from typing import Any + +from openenv.core.env_server.types import State +from pydantic import BaseModel, Field + + +class RolloutTurn(BaseModel): + """One intercepted LLM turn captured by the in-sandbox proxy (Mode B).""" + + turn: int + finish_reason: str | None = None + completion_tokens: list[str] = Field(default_factory=list) + completion_token_ids: list[int] = Field(default_factory=list) + per_token_logps: list[float] = Field(default_factory=list) + latency_s: float = 0.0 + timestamp: float = 0.0 + upstream_status: int | None = None + upstream_error: dict[str, Any] | None = None + + +class CommandResult(BaseModel): + """Outcome of one bash command in setup/verify.""" + + cmd: str + exit_code: int + stdout: str = "" + stderr: str = "" + duration_s: float = 0.0 + + +class RolloutResult(BaseModel): + """Full payload returned from one ``run_rollout`` invocation. + + The trainer (or any client) decodes this from the MCP tool result JSON + and feeds ``proxy_turns`` + ``reward`` into GRPO. + """ + + # Identifiers + task_id: str = "" + sandbox_id: str = "" + + # Scalars + reward: float | None = None + agent_exit_code: int | None = None + wall_s: float = 0.0 + mode: str = "transparent_proxy" + + # Per-step results + setup_results: list[CommandResult] = Field(default_factory=list) + verify_results: list[CommandResult] = Field(default_factory=list) + + # Per-turn LLM trajectory (empty in black_box mode) + proxy_turns: list[RolloutTurn] = Field(default_factory=list) + + # Filesystem the agent produced (path -> contents, truncated) + files: dict[str, str] = Field(default_factory=dict) + files_extra: list[str] = Field(default_factory=list) + + # Diagnostic tails + agent_log_tail: str = "" + proxy_log_tail: str = "" + + # Error surfacing + error: str | None = None + + +class PiState(State): + """Per-session env state across calls to one PiEnvironment instance. + + Each HTTP session gets its own env (``SUPPORTS_CONCURRENT_SESSIONS=True`` + on the server class), so this state is per-session. + """ + + rollouts_completed: int = 0 + last_reward: float | None = None + last_task_id: str | None = None + last_sandbox_id: str | None = None diff --git a/envs/pi_env/openenv.yaml b/envs/pi_env/openenv.yaml new file mode 100644 index 000000000..af575b8bf --- /dev/null +++ b/envs/pi_env/openenv.yaml @@ -0,0 +1,6 @@ +spec_version: 1 +name: pi_env +type: space +runtime: fastapi +app: server.app:app +port: 8000 diff --git a/envs/pi_env/pyproject.toml b/envs/pi_env/pyproject.toml index 8b2055b65..0080298a9 100644 --- a/envs/pi_env/pyproject.toml +++ b/envs/pi_env/pyproject.toml @@ -16,12 +16,23 @@ requires-python = ">=3.10" dependencies = [ # Core OpenEnv (server + MCP + harness runtime). "openenv>=0.3.0", + "fastapi>=0.115.0", + "uvicorn[standard]>=0.24.0", "pydantic>=2.0.0", + "fastmcp>=2.0.0", + "requests>=2.31.0", + + # Web UI — pin to current major (6.x) to match local dev and avoid + # behavior drift on Space rebuilds. + "gradio>=6.0.0", + + # Pi harness primitive — sandbox + proxy + agent driver "httpx>=0.27.0", # >=1.22 ships huggingface_hub.Sandbox (HFSandboxBackend); core only floors 0.20. "huggingface_hub>=1.22", # Shared sandbox backend + interception proxy live in opencode_env for now - # (plan: consolidate into openenv.core). Install it from the same repo: + # (plan: consolidate into openenv.core). Kept a peer dep — install from the + # same repo (the server Dockerfile installs it explicitly): # pip install "openenv-opencode-env @ git+https://github.com/huggingface/OpenEnv.git#subdirectory=envs/opencode_env" ] @@ -32,10 +43,17 @@ dev = [ "pytest-cov>=4.0.0", ] +[project.scripts] +# Server entrypoint — enables ``uv run --project . server``. +server = "pi_env.server.app:main" + [tool.setuptools] include-package-data = true -packages = ["pi_env"] -package-dir = { "pi_env" = "." } +packages = [ + "pi_env", + "pi_env.server", +] +package-dir = { "pi_env" = ".", "pi_env.server" = "server" } [tool.setuptools.package-data] pi_env = ["**/*.md"] diff --git a/envs/pi_env/server/Dockerfile b/envs/pi_env/server/Dockerfile new file mode 100644 index 000000000..6ea377ade --- /dev/null +++ b/envs/pi_env/server/Dockerfile @@ -0,0 +1,78 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the BSD-style license found in the +# LICENSE file in the root directory of this source tree. +# +# pi_env Dockerfile — mirrors the standard OpenEnv multi-stage uv build used +# by echo_env / repl_env / opencode_env. +# +# Build: +# docker build -t pi-env . +# +# Run: +# docker run -p 8000:8000 -e HF_TOKEN=hf_... pi-env + +ARG BASE_IMAGE=ghcr.io/huggingface/openenv-base:latest +FROM ${BASE_IMAGE} AS builder + +WORKDIR /app + +ARG BUILD_MODE=in-repo + +COPY . /app/env +WORKDIR /app/env + +RUN if ! command -v uv >/dev/null 2>&1; then \ + curl -LsSf https://astral.sh/uv/install.sh | sh && \ + mv /root/.local/bin/uv /usr/local/bin/uv && \ + mv /root/.local/bin/uvx /usr/local/bin/uvx; \ + fi + +RUN apt-get update && apt-get install -y --no-install-recommends \ + git \ + && rm -rf /var/lib/apt/lists/* + +RUN --mount=type=cache,target=/root/.cache/uv \ + if [ -f uv.lock ]; then \ + uv sync --frozen --no-install-project --no-editable; \ + else \ + uv sync --no-install-project --no-editable; \ + fi + +RUN --mount=type=cache,target=/root/.cache/uv \ + if [ -f uv.lock ]; then \ + uv sync --frozen --no-editable; \ + else \ + uv sync --no-editable; \ + fi + +# The shared sandbox backend + interception proxy live in opencode_env (kept a +# peer dep in pyproject, not a hard dep, so local dev / training installs stay +# lean). Install it explicitly into the venv so the server can import +# ``opencode_env.sandbox``. TEMPORARY: repoint to the branch carrying +# HFSandboxBackend until it lands in main; removed once the shared sandbox +# consolidates into openenv.core. +RUN --mount=type=cache,target=/root/.cache/uv \ + uv pip install --python .venv/bin/python \ + "openenv-opencode-env @ git+https://github.com/huggingface/OpenEnv.git#subdirectory=envs/opencode_env" + +# ── runtime stage ──────────────────────────────────────────────────────────── +FROM ${BASE_IMAGE} + +WORKDIR /app + +COPY --from=builder /app/env/.venv /app/.venv +COPY --from=builder /app/env /app/env + +ENV PATH="/app/.venv/bin:$PATH" +ENV PYTHONPATH="/app/env:$PYTHONPATH" +ENV PYTHONDONTWRITEBYTECODE=1 +ENV PYTHONUNBUFFERED=1 + +HEALTHCHECK --interval=30s --timeout=5s --start-period=10s --retries=3 \ + CMD python -c "import urllib.request; urllib.request.urlopen('http://localhost:8000/health')" || exit 1 + +EXPOSE 8000 + +CMD ["sh", "-c", "cd /app/env && uvicorn server.app:app --host 0.0.0.0 --port 8000"] diff --git a/envs/pi_env/server/__init__.py b/envs/pi_env/server/__init__.py new file mode 100644 index 000000000..144d18a5b --- /dev/null +++ b/envs/pi_env/server/__init__.py @@ -0,0 +1,7 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the BSD-style license found in the +# LICENSE file in the root directory of this source tree. + +"""Server-side for the deployed pi_env.""" diff --git a/envs/pi_env/server/app.py b/envs/pi_env/server/app.py new file mode 100644 index 000000000..ef22d7b1d --- /dev/null +++ b/envs/pi_env/server/app.py @@ -0,0 +1,118 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the BSD-style license found in the +# LICENSE file in the root directory of this source tree. + +"""FastAPI app for the pi_env MCP server. + +Mirrors the standard OpenEnv pattern (echo_env / repl_env / jupyter_agent) +plus the custom Gradio UI mounted at ``/web`` per the +``customizing-web-ui`` doc. + +Usage:: + + # Local dev: + HF_TOKEN=... uvicorn server.app:app --host 0.0.0.0 --port 8000 + + # Docker: + docker run -p 8000:8000 -e HF_TOKEN=... pi-env + + # HF Space: deploys via the root ``Dockerfile``. + +The ``ENABLE_WEB_INTERFACE`` env var is set to ``true`` automatically so +the UI is always reachable at ``/web``. Set it to ``false`` to disable. +""" + +from __future__ import annotations + +import os +from pathlib import Path + + +def _load_env_file() -> None: + """Lightweight ``.env`` loader (no python-dotenv dep). + + Loads ``../.env`` (env dir's ``.env``) into ``os.environ`` for local + development convenience. Existing process env vars take precedence so + HF Space secrets always win. + """ + candidate = Path(__file__).resolve().parents[1] / ".env" + if not candidate.exists(): + return + for raw in candidate.read_text().splitlines(): + line = raw.strip() + if not line or line.startswith("#") or "=" not in line: + continue + k, _, v = line.partition("=") + k = k.strip() + v = v.strip().strip('"').strip("'") + if k and k not in os.environ: + os.environ[k] = v + + +_load_env_file() + + +try: + from openenv.core.env_server.http_server import create_app + from openenv.core.env_server.mcp_types import ( + CallToolAction, + CallToolObservation, + ) + + from .gradio_ui import pi_gradio_builder + from .pi_environment import PiEnvironment +except ImportError: # pragma: no cover + from openenv.core.env_server.http_server import create_app + from openenv.core.env_server.mcp_types import ( + CallToolAction, + CallToolObservation, + ) + from server.gradio_ui import pi_gradio_builder # type: ignore + from server.pi_environment import PiEnvironment # type: ignore + + +# Always expose the Gradio UI at /web. Set ENABLE_WEB_INTERFACE=false to +# disable (e.g., on HF Spaces where you want the API only). +os.environ.setdefault("ENABLE_WEB_INTERFACE", "true") + + +def _custom_gradio_builder( + web_manager, + action_fields, + metadata, + is_chat_env, + title, + quick_start_md, +): + """Hand off to ``server.gradio_ui.pi_gradio_builder``.""" + return pi_gradio_builder( + web_manager, + action_fields, + metadata, + is_chat_env, + title or "pi_env", + quick_start_md, + ) + + +app = create_app( + PiEnvironment, + CallToolAction, + CallToolObservation, + env_name="pi_env", + max_concurrent_envs=int(os.getenv("MAX_CONCURRENT_ENVS", "4")), + gradio_builder=_custom_gradio_builder, +) + + +def main() -> None: + """Entrypoint for ``uv run --project . server`` and direct invocation.""" + import uvicorn + + uvicorn.run(app, host="0.0.0.0", port=8000) + + +if __name__ == "__main__": + main() diff --git a/envs/pi_env/server/catalog.py b/envs/pi_env/server/catalog.py new file mode 100644 index 000000000..715e71f03 --- /dev/null +++ b/envs/pi_env/server/catalog.py @@ -0,0 +1,149 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the BSD-style license found in the +# LICENSE file in the root directory of this source tree. + +"""Endpoint shorthand catalog. + +Lets the MCP tool ``run_rollout`` and the HTMX UI accept a short endpoint +label (``vllm`` / ``openai`` / ``hf_router``) and resolve the actual +``base_url`` / ``api_key`` / ``model`` from environment variables (with +sane defaults). Explicit overrides on the call always win. +""" + +from __future__ import annotations + +import os +from dataclasses import dataclass + + +ENDPOINT_KINDS = ("vllm", "openai", "hf_router") + + +@dataclass(frozen=True) +class _EndpointSpec: + base_url_env: str + api_key_env: str + model_env: str + default_base_url: str | None + default_api_key: str | None + default_model: str | None + disable_thinking_default: bool + + +_CATALOG: dict[str, _EndpointSpec] = { + "vllm": _EndpointSpec( + base_url_env="VLLM_URL", + api_key_env="VLLM_API_KEY", + model_env="VLLM_MODEL", + default_base_url=None, # cluster URL must be set + default_api_key="intercepted", # vLLM rarely enforces auth + default_model="Qwen/Qwen3.5-4B", + disable_thinking_default=True, # Qwen3.5 thinks by default + ), + "openai": _EndpointSpec( + base_url_env="OPENAI_BASE_URL", + api_key_env="OPENAI_API_KEY", + model_env="OPENAI_MODEL", + default_base_url="https://api.openai.com/v1", + default_api_key=None, + default_model="gpt-4o-mini", + disable_thinking_default=False, # OpenAI rejects unknown kwargs + ), + "hf_router": _EndpointSpec( + base_url_env="HF_ROUTER_BASE_URL", + api_key_env="HF_ROUTER_API_KEY", + model_env="HF_ROUTER_MODEL", + default_base_url="https://router.huggingface.co/v1", + default_api_key=None, + default_model="Qwen/Qwen3-4B-Instruct-2507:nscale", + disable_thinking_default=False, # Instruct variant doesn't think + ), +} + + +@dataclass(frozen=True) +class ResolvedEndpoint: + kind: str + base_url: str + api_key: str + model: str + disable_thinking_default: bool + + +def resolve_endpoint( + kind: str, + *, + base_url: str = "", + api_key: str = "", + model: str = "", +) -> ResolvedEndpoint: + """Resolve an endpoint shorthand into concrete (base_url, api_key, model). + + Precedence per field: **explicit arg > env var > catalog default**. + Always normalizes to a ``/v1`` base URL. + + Raises ``ValueError`` for unknown kinds, missing creds, or missing model. + """ + spec = _CATALOG.get(kind) + if spec is None: + raise ValueError( + f"unknown endpoint kind: {kind!r}; expected one of {ENDPOINT_KINDS}" + ) + base = ( + base_url or os.environ.get(spec.base_url_env) or spec.default_base_url or "" + ).rstrip("/") + if not base: + raise ValueError( + f"{kind}: no base_url (set {spec.base_url_env} env var or pass " + "base_url=...)" + ) + if not base.endswith("/v1"): + base = f"{base}/v1" + + key = api_key or os.environ.get(spec.api_key_env) or spec.default_api_key or "" + if not key: + raise ValueError( + f"{kind}: no api_key (set {spec.api_key_env} env var or pass api_key=...)" + ) + + mdl = model or os.environ.get(spec.model_env) or spec.default_model or "" + if not mdl: + raise ValueError( + f"{kind}: no model (set {spec.model_env} env var or pass model=...)" + ) + + return ResolvedEndpoint( + kind=kind, + base_url=base, + api_key=key, + model=mdl, + disable_thinking_default=spec.disable_thinking_default, + ) + + +def catalog_summary() -> list[dict[str, object]]: + """Return a JSON-friendly view of the catalog (for the UI dropdown).""" + out: list[dict[str, object]] = [] + for kind, spec in _CATALOG.items(): + out.append( + { + "kind": kind, + "base_url_env": spec.base_url_env, + "api_key_env": spec.api_key_env, + "model_env": spec.model_env, + "default_base_url": spec.default_base_url, + "default_model": spec.default_model, + "disable_thinking_default": spec.disable_thinking_default, + "configured": _is_configured(spec), + } + ) + return out + + +def _is_configured(spec: _EndpointSpec) -> bool: + base = os.environ.get(spec.base_url_env) or spec.default_base_url or "" + key = os.environ.get(spec.api_key_env) or spec.default_api_key or "" + model = os.environ.get(spec.model_env) or spec.default_model or "" + return bool(base and key and model) diff --git a/envs/pi_env/server/gradio_ui.py b/envs/pi_env/server/gradio_ui.py new file mode 100644 index 000000000..792e71e93 --- /dev/null +++ b/envs/pi_env/server/gradio_ui.py @@ -0,0 +1,551 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the BSD-style license found in the +# LICENSE file in the root directory of this source tree. + +"""Minimal Gradio UI for pi_env. + +Mounts under the standard OpenEnv ``/web`` path via the +``gradio_builder=`` callback documented at +https://huggingface.co/docs/openenv/guides/customizing-web-ui. + +One page with: + - endpoint selector (``vllm`` / ``openai`` / ``hf_router``) — the catalog + resolves the actual base_url / api_key / model from env vars. + - instruction + setup (bash, one cmd per line) + verify (bash, one cmd + per line) textareas — the same Task shape the MCP tool accepts. + - Tunables (mode, disable_thinking, max_tokens_cap, top_logprobs, + agent_timeout_s, image). + - Preset buttons for the ready-made example tasks. + - Run button → result panel with reward, setup/verify per-command + results, file outputs, logprob stats, agent + proxy log tails, + and the raw RolloutResult JSON. +""" + +from __future__ import annotations + +import json +from typing import Any + +import gradio as gr + +try: + from .catalog import ENDPOINT_KINDS, catalog_summary, resolve_endpoint + from .pi_environment import PiEnvironment +except ImportError: # pragma: no cover + from server.catalog import ENDPOINT_KINDS, catalog_summary, resolve_endpoint # type: ignore + from server.pi_environment import PiEnvironment # type: ignore + + +# ──────────────────────────────────────────────────────────────────────────── +# Preset task examples — each fills (instruction, setup, verify). +# ──────────────────────────────────────────────────────────────────────────── + +PRESETS: dict[str, dict[str, str]] = { + "binary_search": { + "instruction": ( + "Create a single Python file named `binary_search.py` in the " + "current working directory. Use the relative path `binary_search.py`. " + "Expose exactly one function:\n" + " def binary_search(arr: list[int], target: int) -> int\n" + "Return the index of `target` in the sorted list `arr`, or -1 if " + "absent. Use the binary-search algorithm; do not call list.index." + ), + "setup": "", + "verify": ( + "test -f /root/workdir/binary_search.py\n" + "python -c \"import sys; sys.path.insert(0, '/root/workdir'); " + "import binary_search; " + "assert binary_search.binary_search([1,2,3,4,5], 3) == 2; " + "assert binary_search.binary_search([1,2,3], 99) == -1; " + "assert binary_search.binary_search([], 1) == -1; " + "print('OK')\"" + ), + }, + "fizzbuzz": { + "instruction": ( + "Create `fizzbuzz.py` in the current directory exposing " + "`def fizzbuzz(n: int) -> list[str]` that returns the FizzBuzz " + "sequence for the integers 1..n. 'Fizz' for multiples of 3, 'Buzz' " + "for 5, 'FizzBuzz' for both, otherwise the number as a string." + ), + "setup": "", + "verify": ( + "test -f /root/workdir/fizzbuzz.py\n" + "python -c \"import sys; sys.path.insert(0, '/root/workdir'); " + "import fizzbuzz; " + "assert fizzbuzz.fizzbuzz(5) == ['1','2','Fizz','4','Buzz']; " + "assert fizzbuzz.fizzbuzz(15)[-1] == 'FizzBuzz'; " + "print('OK')\"" + ), + }, + "pandas_csv": { + "instruction": ( + "Read `/root/data/numbers.csv` (a CSV with a single column " + "`x` of integers) using pandas. Compute the mean of the `x` " + "column and write it as a single float to `/root/workdir/mean.txt` " + "(no extra characters, no newline)." + ), + "setup": ( + "pip install --quiet pandas\n" + "mkdir -p /root/data\n" + "printf 'x\\n1\\n2\\n3\\n4\\n5\\n6\\n7\\n8\\n9\\n10\\n' > /root/data/numbers.csv" + ), + "verify": ( + "test -f /root/workdir/mean.txt\n" + "python -c \"v=float(open('/root/workdir/mean.txt').read().strip()); " + "assert abs(v-5.5) < 1e-6, v; print('mean=', v)\"" + ), + }, +} + + +# ──────────────────────────────────────────────────────────────────────────── +# Result rendering helpers +# ──────────────────────────────────────────────────────────────────────────── + + +def _split_commands(text: str) -> list[str]: + return [line for line in (text or "").splitlines() if line.strip()] + + +def _badge_for_reward(reward: float | None) -> str: + if reward is None: + return "**reward**: _n/a_" + if reward >= 0.999: + emoji = "[PASS]" + elif reward > 0.0: + emoji = "[PARTIAL]" + else: + emoji = "[FAIL]" + return f"### {emoji} reward = `{reward:.2f}`" + + +def _summary_md(result: dict[str, Any]) -> str: + parts = [_badge_for_reward(result.get("reward"))] + parts.append( + f"**sandbox**: `{result.get('sandbox_id') or 'n/a'}` · " + f"**wall**: `{result.get('wall_s', 0):.1f}s` · " + f"**agent_exit**: `{result.get('agent_exit_code')}` · " + f"**mode**: `{result.get('mode', 'n/a')}`" + ) + if result.get("error"): + parts.append(f"**error**: `{result['error']}`") + return "\n\n".join(parts) + + +def _command_rows(items: list[dict[str, Any]]) -> list[list[str]]: + rows: list[list[str]] = [] + for it in items or []: + cmd = it.get("cmd", "") + rows.append( + [ + cmd if len(cmd) <= 80 else cmd[:77] + "...", + str(it.get("exit_code", "")), + f"{it.get('duration_s', 0):.2f}s", + (it.get("stderr") or "").splitlines()[-1][:80] if it.get("exit_code") else "", + ] + ) + return rows + + +def _logprobs_md(turns: list[dict[str, Any]]) -> str: + if not turns: + return "_No proxy turns captured._\n\nThis is normal in `black_box` mode. In `transparent_proxy` mode, an empty list usually means the agent never made an LLM call (check the agent log)." + n = len(turns) + productive = sum(1 for t in turns if t.get("completion_tokens")) + total_toks = sum(len(t.get("completion_tokens") or []) for t in turns) + all_lps = [ + float(x) + for t in turns + for x in (t.get("per_token_logps") or []) + if x is not None + ] + mean_lp = (sum(all_lps) / len(all_lps)) if all_lps else None + lines = [ + f"**turns**: `{n}` · **productive**: `{productive}` · " + f"**total_completion_tokens**: `{total_toks}`", + ] + if mean_lp is not None: + lines.append(f"**mean_logprob**: `{mean_lp:+.4f}`") + finishes: dict[str, int] = {} + for t in turns: + f = t.get("finish_reason") or "unknown" + finishes[f] = finishes.get(f, 0) + 1 + if finishes: + lines.append( + "**finish_reasons**: " + " ".join(f"`{k}={v}`" for k, v in finishes.items()) + ) + productive_rows = [t for t in turns if t.get("completion_tokens")] + if productive_rows: + first = productive_rows[0] + toks = first["completion_tokens"][:10] + lps = first.get("per_token_logps") or [] + lines.append( + f"\n**first productive turn (first 10 tokens)**\n\n" + f"```\n" + + "\n".join( + f" {tok!r:<14} {lp:+.3f}" if i < len(lps) else f" {tok!r:<14} -" + for i, (tok, lp) in enumerate(zip(toks, lps + [None] * len(toks))) + ) + + "\n```" + ) + return "\n\n".join(lines) + + +def _live_status_md( + endpoint_kind: str, + model: str, + mode: str, + elapsed_s: float, + lines: list[tuple[float, str]], +) -> str: + """Render a live phase log (latest at the bottom) with elapsed timestamps.""" + head = ( + f"### running… `elapsed={elapsed_s:.1f}s`\n\n" + f"_endpoint=`{endpoint_kind}` model=`{model}` mode=`{mode}`_\n\n" + ) + if not lines: + body = "_(waiting for first phase update…)_" + else: + # Show the most recent ~12 lines so the panel doesn't grow unbounded. + rows = ["| t (s) | phase |", "|---|---|"] + for ts, msg in lines[-12:]: + rows.append(f"| `{ts:>6.1f}` | {msg.replace(chr(10), ' ')[:200]} |") + body = "\n".join(rows) + return head + body + + +def _files_md(files: dict[str, str]) -> str: + if not files: + return "_No files in the workdir._" + chunks = [] + for path, content in files.items(): + chunks.append(f"**`{path}`**\n```python\n{content[:4000]}\n```") + return "\n\n".join(chunks) + + +def _catalog_banner() -> str: + rows = ["**Endpoint catalog (env vars + defaults)**", ""] + rows.append("| kind | base_url | model | env vars | configured |") + rows.append("|---|---|---|---|---|") + for entry in catalog_summary(): + envs = ( + f"`{entry['base_url_env']}`
`{entry['api_key_env']}`
" + f"`{entry['model_env']}`" + ) + ok = "yes" if entry["configured"] else "**no**" + rows.append( + f"| `{entry['kind']}` | `{entry['default_base_url'] or '-'}` | " + f"`{entry['default_model'] or '-'}` | {envs} | {ok} |" + ) + return "\n".join(rows) + + +# ──────────────────────────────────────────────────────────────────────────── +# Builder +# ──────────────────────────────────────────────────────────────────────────── + + +def pi_gradio_builder( + web_manager, # noqa: ARG001 (unused: we instantiate the env directly) + action_fields, # noqa: ARG001 + metadata, # noqa: ARG001 + is_chat_env, # noqa: ARG001 + title, + quick_start_md, # noqa: ARG001 +) -> gr.Blocks: + """Build the pi_env console. + + Compatible with ``create_app(..., gradio_builder=...)``. We ignore + ``web_manager`` and instantiate :class:`PiEnvironment` ourselves inside + the run handler — pi_env's run_rollout doesn't need any per-session + state beyond the env's own bookkeeping, and instantiating is cheap (no + sandbox is created until the tool fires). + """ + + def run( + endpoint: str, + model: str, + base_url: str, + api_key: str, + instruction: str, + setup_text: str, + verify_text: str, + mode: str, + disable_thinking: str, + image: str, + max_tokens_cap: int, + top_logprobs: int, + agent_timeout_s: float, + ): + """Generator handler — yields incremental UI updates. + + Each ``yield`` is a tuple matching ``outputs=[...]``: + (summary_md, setup_table, verify_table, files_md, logprobs_md, + logs_md, raw_json). Early yields keep summary_md as a live phase + log while the rollout runs; the final yield populates everything. + """ + import queue + import threading + import time + + # Resolve endpoint up front — if this fails, we can return one + # immediate result with no streaming needed. + try: + resolved = resolve_endpoint( + endpoint, base_url=base_url, api_key=api_key, model=model + ) + except ValueError as exc: + err = f"endpoint resolution failed: {exc}" + yield (f"### error\n\n```\n{err}\n```", [], [], "", "", "", {"error": err}) + return + + # Translate "auto" / "on" / "off" into bool / None. + if disable_thinking == "on": + dt: bool | None = True + elif disable_thinking == "off": + dt = False + else: + dt = None + + env = PiEnvironment() + + # The worker fires _run_rollout_impl in a background thread and + # streams progress messages into a queue; this generator polls the + # queue every 0.5s and yields a refreshed status_md to the UI. + status_q: queue.Queue = queue.Queue() + result_holder: dict = {} + + def _cb(msg: str) -> None: + status_q.put(("status", msg, time.time())) + + def _worker(): + try: + payload = env._run_rollout_impl( + base_url=resolved.base_url, + api_key=resolved.api_key, + model=resolved.model, + instruction=instruction, + setup=_split_commands(setup_text), + verify=_split_commands(verify_text), + task_id="ui", + mode=mode, + disable_thinking=( + dt if dt is not None else resolved.disable_thinking_default + ), + max_tokens_cap=int(max_tokens_cap), + top_logprobs=int(top_logprobs), + agent_timeout_s=float(agent_timeout_s), + image=image, + progress_cb=_cb, + ) + result_holder["payload"] = payload + except Exception as exc: # noqa: BLE001 + result_holder["error"] = f"{type(exc).__name__}: {exc}" + status_q.put(("error", result_holder["error"], time.time())) + finally: + status_q.put(("done", None, time.time())) + + worker = threading.Thread(target=_worker, daemon=True) + t_start = time.time() + worker.start() + + # First yield: announce we've started. Empty result panels. + yield ( + f"### running…\n\n_endpoint=`{resolved.kind}` model=`{resolved.model}` mode=`{mode}`_", + [], [], "", "", "", {}, + ) + + status_lines: list[tuple[float, str]] = [] + finished = False + while not finished: + try: + kind, msg, ts = status_q.get(timeout=0.5) + if kind == "status": + status_lines.append((ts - t_start, msg)) + elif kind == "error": + status_lines.append((ts - t_start, f"ERROR: {msg}")) + elif kind == "done": + finished = True + except queue.Empty: + pass + + # Render the live status pane. + elapsed = time.time() - t_start + md = _live_status_md(resolved.kind, resolved.model, mode, elapsed, status_lines) + yield (md, [], [], "", "", "", {}) + + # Drain any final messages still in the queue. + while not status_q.empty(): + try: + kind, msg, ts = status_q.get_nowait() + if kind == "status": + status_lines.append((ts - t_start, msg)) + except queue.Empty: + break + + if "payload" not in result_holder: + err = result_holder.get("error", "unknown error") + yield ( + f"### error\n\n```\n{err}\n```", + [], [], "", "", + _live_status_md(resolved.kind, resolved.model, mode, + time.time() - t_start, status_lines), + {"error": err}, + ) + return + + result = json.loads(result_holder["payload"]) + yield ( + _summary_md(result), + _command_rows(result.get("setup_results") or []), + _command_rows(result.get("verify_results") or []), + _files_md(result.get("files") or {}), + _logprobs_md(result.get("proxy_turns") or []), + ( + f"### live phase log\n\n" + + _live_status_md(resolved.kind, resolved.model, mode, + time.time() - t_start, status_lines) + + f"\n\n### agent log (tail)\n```\n{result.get('agent_log_tail', '')[:4000]}\n```\n\n" + f"### proxy log (tail)\n```\n{result.get('proxy_log_tail', '')[:4000]}\n```" + ), + result, + ) + + def apply_preset(name: str) -> tuple[str, str, str]: + p = PRESETS.get(name) or {"instruction": "", "setup": "", "verify": ""} + return p["instruction"], p["setup"], p["verify"] + + with gr.Blocks(title=title or "pi_env") as app: + gr.Markdown(f"# {title or 'pi_env'}") + gr.Markdown( + "Run one Pi rollout in a Hugging Face sandbox against your chosen " + "LLM endpoint. Pick an endpoint, write the task as `(instruction, " + "setup, verify)`, and inspect the reward + per-token logprobs." + ) + + gr.Markdown(_catalog_banner()) + + with gr.Row(): + endpoint = gr.Dropdown( + choices=list(ENDPOINT_KINDS), + value="openai", + label="Endpoint", + scale=1, + ) + model = gr.Textbox( + label="Model (blank → catalog default)", placeholder="gpt-4o-mini", + scale=2, + ) + with gr.Row(): + base_url = gr.Textbox( + label="Base URL (blank → env / catalog default)", + placeholder="https://api.openai.com/v1", scale=2, + ) + api_key = gr.Textbox( + label="API key (blank → server env var)", + placeholder="(server env)", type="password", scale=1, + ) + + instruction = gr.Textbox( + label="Instruction (the prompt pi runs)", + lines=4, + value=PRESETS["binary_search"]["instruction"], + ) + + with gr.Row(): + setup_text = gr.Textbox( + label="Setup (one bash command per line — runs BEFORE the agent)", + lines=5, + value=PRESETS["binary_search"]["setup"], + ) + verify_text = gr.Textbox( + label="Verify (one bash command per line — runs AFTER the agent)", + lines=5, + value=PRESETS["binary_search"]["verify"], + ) + + with gr.Row(): + preset_bs = gr.Button("preset · binary_search", size="sm") + preset_fb = gr.Button("preset · fizzbuzz", size="sm") + preset_pd = gr.Button("preset · pandas_csv", size="sm") + + with gr.Accordion("Tunables", open=False): + with gr.Row(): + mode = gr.Dropdown( + choices=["transparent_proxy", "black_box"], + value="transparent_proxy", + label="mode", + ) + disable_thinking = gr.Dropdown( + choices=["auto", "on", "off"], + value="auto", + label="disable_thinking", + ) + image = gr.Textbox( + label="HF sandbox image", + value="python:3.12", + placeholder="python:3.12", + ) + with gr.Row(): + max_tokens_cap = gr.Number(value=4096, label="max_tokens_cap", step=1) + top_logprobs = gr.Number(value=5, label="top_logprobs", step=1) + agent_timeout_s = gr.Number(value=600, label="agent_timeout_s", step=1) + + run_btn = gr.Button("Run rollout", variant="primary") + + gr.Markdown("---") + summary_md = gr.Markdown("_Submit a rollout above to see results._") + + with gr.Tabs(): + with gr.Tab("Setup"): + setup_table = gr.Dataframe( + headers=["cmd", "exit", "duration", "stderr"], + datatype=["str", "str", "str", "str"], + interactive=False, + wrap=True, + ) + with gr.Tab("Verify"): + verify_table = gr.Dataframe( + headers=["cmd", "exit", "duration", "stderr"], + datatype=["str", "str", "str", "str"], + interactive=False, + wrap=True, + ) + with gr.Tab("Files"): + files_md = gr.Markdown("") + with gr.Tab("Logprobs"): + logprobs_md = gr.Markdown("") + with gr.Tab("Logs"): + logs_md = gr.Markdown("") + with gr.Tab("Raw JSON"): + raw_json = gr.JSON(value={}) + + # Wire it up. + for btn, name in [ + (preset_bs, "binary_search"), + (preset_fb, "fizzbuzz"), + (preset_pd, "pandas_csv"), + ]: + btn.click( + fn=lambda n=name: apply_preset(n), + outputs=[instruction, setup_text, verify_text], + ) + + run_btn.click( + fn=run, + inputs=[ + endpoint, model, base_url, api_key, + instruction, setup_text, verify_text, + mode, disable_thinking, image, + max_tokens_cap, top_logprobs, agent_timeout_s, + ], + outputs=[ + summary_md, setup_table, verify_table, + files_md, logprobs_md, logs_md, raw_json, + ], + ) + + return app diff --git a/envs/pi_env/server/pi_environment.py b/envs/pi_env/server/pi_environment.py new file mode 100644 index 000000000..d5b61b86f --- /dev/null +++ b/envs/pi_env/server/pi_environment.py @@ -0,0 +1,507 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the BSD-style license found in the +# LICENSE file in the root directory of this source tree. + +"""Pi MCP environment. + +Single MCP tool ``run_rollout`` that takes a uniform Task shape: + + - ``instruction`` — prompt for the agent + - ``setup`` — bash commands run BEFORE the agent (in the sandbox) + - ``verify`` — bash commands run AFTER the agent + +Reward = ``passed_verify_commands / total`` unless a verify command writes +a float to ``/root/logs/verifier/reward.txt`` (override). + +Returns a JSON-serialized :class:`RolloutResult` with reward + per-turn +logprobs (Mode B) + setup/verify command results + file outputs. +""" + +from __future__ import annotations + +import json +import os +import time +from typing import Any, Optional +from uuid import uuid4 + +from fastmcp import FastMCP + +try: + from openenv.core.env_server.mcp_environment import MCPEnvironment + from openenv.core.env_server.types import Action, Observation + + from .catalog import ENDPOINT_KINDS, resolve_endpoint +except ImportError: # pragma: no cover + from openenv.core.env_server.mcp_environment import MCPEnvironment + from openenv.core.env_server.types import Action, Observation + from server.catalog import ENDPOINT_KINDS, resolve_endpoint # type: ignore + + +# One rollout (sandbox cold start + pi install + pi run + verifier) typically +# takes 30-180s; can spike to ~600s under load. Override OpenEnv's 30s +# MCP-tool default so the server doesn't cut us off. +_RUN_ROLLOUT_TIMEOUT_S = 900.0 + +# Default Hugging Face sandbox image (cold-installs Node + Pi per rollout). +_DEFAULT_IMAGE = "python:3.12" + +# Inside-sandbox paths the server writes/reads (HF sandbox execs as root). +HOME = "/root" +WORKDIR = f"{HOME}/workdir" +INSTRUCTION_PATH = f"{HOME}/task/instruction.md" +REWARD_FILE = f"{HOME}/logs/verifier/reward.txt" +PROXY_LOG = f"{HOME}/logs/agent/proxy.log" +AGENT_LOG = f"{HOME}/logs/agent/pi.jsonl" +VERIFY_TIMEOUT_S = 120 + + +class PiEnvironment(MCPEnvironment): + """Per-session environment exposing a single ``run_rollout`` MCP tool.""" + + SUPPORTS_CONCURRENT_SESSIONS = True + + def __init__(self) -> None: + # Lazy imports so module import stays cheap and so tests can patch. + try: + from ..models import ( + CommandResult, + PiState, + RolloutResult, + RolloutTurn, + ) + except ImportError: # pragma: no cover + from models import ( # type: ignore + CommandResult, + PiState, + RolloutResult, + RolloutTurn, + ) + + from pi_env import ( + HFSandboxBackend, + PiConfig, + PiSessionFactory, + PiTask, + ) + + self._CommandResult = CommandResult + self._RolloutResult = RolloutResult + self._RolloutTurn = RolloutTurn + self._PiState = PiState + self._PiConfig = PiConfig + self._PiSessionFactory = PiSessionFactory + self._PiTask = PiTask + self._HFSandboxBackend = HFSandboxBackend + + # Don't raise on missing HF_TOKEN here — OpenEnv's web-interface layer + # instantiates the env at import time for schema introspection, and we + # want the docs / Gradio UI to load even when the operator is just + # exploring. The real check happens lazily in ``_run_rollout_impl`` + # (any rollout without creds fails fast there with a clear error in + # the result payload). + self._state = self._PiState(episode_id=str(uuid4())) + + mcp = FastMCP("pi_env") + + @mcp.tool + def run_rollout( + # Endpoint — either a shorthand (resolved from env vars + catalog + # defaults) OR explicit base_url+api_key+model. Explicit fields + # always win over the catalog. + endpoint: str = "", + base_url: str = "", + api_key: str = "", + model: str = "", + # Task + instruction: str = "", + setup: Optional[list[str]] = None, + verify: Optional[list[str]] = None, + # Bookkeeping / tunables + task_id: str = "", + mode: str = "transparent_proxy", + disable_thinking: Optional[bool] = None, + max_tokens_cap: int = 4096, + top_logprobs: int = 5, + agent_timeout_s: float = 600.0, + image: str = "", + ) -> str: + """Run one Pi rollout end-to-end. + + ``endpoint`` is the shorthand selector (one of + ``"vllm"`` / ``"openai"`` / ``"hf_router"``) — the server + resolves base_url / api_key / model from env vars + catalog + defaults. Pass any of those explicitly to override. + + See ``pi_env.client.PiEnv.run_rollout`` for full arg docs. + Returns a JSON-serialized ``RolloutResult``. + """ + # Resolve via catalog when shorthand is provided. + disable_thinking_resolved = disable_thinking + if endpoint: + resolved = resolve_endpoint( + endpoint, base_url=base_url, api_key=api_key, model=model + ) + base_url = resolved.base_url + api_key = resolved.api_key + model = resolved.model + if disable_thinking_resolved is None: + disable_thinking_resolved = resolved.disable_thinking_default + if disable_thinking_resolved is None: + disable_thinking_resolved = False + + if not (base_url and api_key and model): + raise ValueError( + "must provide either ``endpoint`` (one of " + f"{ENDPOINT_KINDS}) or all of base_url + api_key + model" + ) + if not instruction: + raise ValueError("instruction is required") + + return self._run_rollout_impl( + base_url=base_url, + api_key=api_key, + model=model, + instruction=instruction, + setup=list(setup or []), + verify=list(verify or []), + task_id=task_id, + mode=mode, + disable_thinking=disable_thinking_resolved, + max_tokens_cap=max_tokens_cap, + top_logprobs=top_logprobs, + agent_timeout_s=agent_timeout_s, + image=image, + ) + + super().__init__(mcp) + + # ── OpenEnv lifecycle ────────────────────────────────────────────────── + + def reset( + self, + seed: Optional[int] = None, + episode_id: Optional[str] = None, + **_: Any, + ) -> Observation: + self._state = self._PiState(episode_id=episode_id or str(uuid4())) + return Observation( + done=False, + reward=None, + metadata={ + "status": "ready", + "message": ( + "pi_env ready. Call run_rollout(...) with a task." + ), + }, + ) + + def _step_impl( + self, + action: Action, + timeout_s: Optional[float] = None, + **_: Any, + ) -> Observation: + return Observation( + done=False, + reward=None, + metadata={ + "error": ( + f"Unknown action type: {type(action).__name__}. " + "Use CallToolAction(name='run_rollout', ...)." + ), + }, + ) + + def step( + self, + action: Action, + timeout_s: Optional[float] = None, + **kwargs: Any, + ) -> Observation: + if timeout_s is None: + timeout_s = _RUN_ROLLOUT_TIMEOUT_S + return super().step(action, timeout_s=timeout_s, **kwargs) + + async def step_async( + self, + action: Action, + timeout_s: Optional[float] = None, + **kwargs: Any, + ) -> Observation: + if timeout_s is None: + timeout_s = _RUN_ROLLOUT_TIMEOUT_S + return await super().step_async(action, timeout_s=timeout_s, **kwargs) + + @property + def state(self) -> Any: + return self._state + + # ── Rollout orchestration ────────────────────────────────────────────── + + def _run_rollout_impl( + self, + *, + base_url: str, + api_key: str, + model: str, + instruction: str, + setup: list[str], + verify: list[str], + task_id: str, + mode: str, + disable_thinking: bool, + max_tokens_cap: int, + top_logprobs: int, + agent_timeout_s: float, + image: str, + progress_cb=None, + ) -> str: + # Optional progress callback: receives short status strings at each + # phase boundary so the Gradio UI can stream live updates. Safe to + # be None (silently no-op). + def _emit(msg: str) -> None: + if progress_cb is not None: + try: + progress_cb(msg) + except Exception: + pass + + result = self._RolloutResult(task_id=task_id, mode=mode) + t0 = time.time() + + # Late credential check — keeps the server importable in dev / + # docs-only contexts. + if not (os.environ.get("HF_TOKEN") or os.environ.get("HUGGING_FACE_HUB_TOKEN")): + result.error = ( + "HF_TOKEN is not set on the server. Configure it in the " + "Space's secrets / your .env / your shell before calling " + "run_rollout." + ) + result.wall_s = round(time.time() - t0, 3) + _emit("error: HF_TOKEN missing on server") + return result.model_dump_json() + + _emit(f"resolving config (model={model}, mode={mode})") + + # Build PiConfig + factory. We keep the proxy in charge of + # ``model_override`` / ``logprobs`` / ``max_tokens``-cap injection. + config = self._PiConfig( + base_url=base_url.rstrip("/"), + api_key=api_key, + model=model, + agent_timeout_s=agent_timeout_s, + proxy_disable_thinking=disable_thinking, + proxy_top_logprobs=top_logprobs, + proxy_max_tokens_cap=max_tokens_cap if max_tokens_cap > 0 else None, + ) + + # Concatenate setup commands into a single ``set -e`` script and let + # the primitive run it as ``task.setup_shell`` before the agent + # starts. The per-command tracking happens here too — we re-run + # each command in a wrapper that captures exit/stdout/stderr. + # That way the primitive still aborts on setup failure AND we get + # observability in the response. + instruction_payload = instruction + pi_task = self._PiTask( + instruction=instruction_payload, + metadata={"task_id": task_id}, + ) + + factory = self._PiSessionFactory( + config=config, + sandbox_backend=self._HFSandboxBackend(image=image or _DEFAULT_IMAGE), + mode=mode, + verifier=None, + ) + + session = None + try: + _emit( + f"creating HF sandbox (image={image or _DEFAULT_IMAGE}) — " + "this is the slow phase (Node + Pi cold-install per rollout)" + ) + session = factory.create(task=pi_task) + result.sandbox_id = session.sandbox.sandbox_id + _emit( + f"sandbox ready: {result.sandbox_id} — agent started " + f"({'proxy on :7000, logprobs capturing' if mode == 'transparent_proxy' else 'direct LLM, no logprobs'})" + ) + + # Run setup commands one at a time, *before* the agent starts. + # The factory has already started the agent in start_agent() + # during create(); to keep the order "setup → agent → verify" + # we'd need to restructure. As a pragmatic compromise we run + # setup IMMEDIATELY after create(), which races with the agent + # for ~1-2s but is fine for typical pip/git/download work + # because pi itself takes >=20s to make its first model call. + for i, cmd in enumerate(setup, 1): + _emit(f"setup [{i}/{len(setup)}]: {cmd[:80]}") + cr = self._exec_command(session.sandbox, cmd) + result.setup_results.append(cr) + if cr.exit_code != 0: + result.error = ( + f"setup command failed (exit {cr.exit_code}): {cmd[:120]}" + ) + _emit(f"setup FAILED at [{i}]: exit={cr.exit_code}") + break + + # Block until the agent is done (or setup already failed). + if result.error is None: + _emit( + f"agent running — pi CLI in sandbox " + f"(timeout {int(agent_timeout_s)}s)" + ) + try: + result.agent_exit_code = session.wait_for_completion( + timeout_s=agent_timeout_s + ) + _emit(f"agent finished: exit_code={result.agent_exit_code}") + except TimeoutError as exc: + result.error = f"agent timeout: {exc}" + _emit(f"agent TIMEOUT: {exc}") + + # Run verify commands one at a time, capture each. + verify_passed = 0 + for i, cmd in enumerate(verify, 1): + _emit(f"verify [{i}/{len(verify)}]: {cmd[:80]}") + cr = self._exec_command(session.sandbox, cmd) + result.verify_results.append(cr) + if cr.exit_code == 0: + verify_passed += 1 + + # Reward: explicit reward.txt wins; else passed/total of verify. + override = self._read_reward(session.sandbox) + if override is not None: + result.reward = override + elif verify: + result.reward = verify_passed / len(verify) + else: + result.reward = None + + # Collect filesystem + proxy trace. + _emit("collecting workdir files + proxy trace + logs") + result.files, result.files_extra = self._collect_files(session.sandbox) + result.proxy_turns = self._collect_proxy_turns(session) + result.proxy_log_tail = self._safe_read(session.sandbox, PROXY_LOG)[-2000:] + result.agent_log_tail = self._safe_read(session.sandbox, AGENT_LOG)[-2000:] + _emit( + f"collected: {len(result.files)} file(s), " + f"{len(result.proxy_turns)} proxy turn(s), " + f"reward={'%.2f' % result.reward if result.reward is not None else 'n/a'}" + ) + except Exception as exc: # noqa: BLE001 + result.error = f"{type(exc).__name__}: {exc}" + _emit(f"ERROR: {result.error}") + if session is not None: + result.proxy_log_tail = self._safe_read(session.sandbox, PROXY_LOG)[-2000:] + result.agent_log_tail = self._safe_read(session.sandbox, AGENT_LOG)[-2000:] + finally: + if session is not None: + try: + _emit("tearing down sandbox") + session.close() + except Exception: + pass + + result.wall_s = round(time.time() - t0, 3) + _emit(f"done in {result.wall_s:.1f}s") + + # Bookkeeping on the per-session state. + self._state.rollouts_completed += 1 + self._state.last_reward = result.reward + self._state.last_task_id = task_id or None + self._state.last_sandbox_id = result.sandbox_id or None + + return result.model_dump_json() + + # ── Helpers ──────────────────────────────────────────────────────────── + + def _exec_command(self, sandbox: Any, cmd: str) -> Any: + t = time.time() + try: + r = sandbox.exec(cmd, timeout=VERIFY_TIMEOUT_S) + return self._CommandResult( + cmd=cmd, + exit_code=int(r.exit_code), + stdout=(r.stdout or "")[-2000:], + stderr=(r.stderr or "")[-2000:], + duration_s=round(time.time() - t, 3), + ) + except Exception as exc: # noqa: BLE001 + return self._CommandResult( + cmd=cmd, + exit_code=-1, + stderr=f"{type(exc).__name__}: {exc}", + duration_s=round(time.time() - t, 3), + ) + + def _read_reward(self, sandbox: Any) -> float | None: + raw = self._safe_read(sandbox, REWARD_FILE).strip() + if not raw: + return None + try: + return float(raw) + except ValueError: + return None + + def _collect_files( + self, sandbox: Any + ) -> tuple[dict[str, str], list[str]]: + listing = sandbox.exec( + f"find {WORKDIR} -maxdepth 2 -type f -size -64k 2>/dev/null | head -32", + timeout=10, + ) + files: dict[str, str] = {} + extras: list[str] = [] + for line in (listing.stdout or "").splitlines(): + path = line.strip() + if not path: + continue + try: + files[path] = sandbox.read_text(path)[:8000] + except Exception: + extras.append(path) + return files, extras + + def _collect_proxy_turns(self, session: Any) -> list[Any]: + turns: list[Any] = [] + proxy_trace_path = getattr(session, "_proxy_trace_path", None) + if not proxy_trace_path: + return turns + raw = self._safe_read(session.sandbox, proxy_trace_path) + for line in raw.splitlines(): + line = line.strip() + if not line: + continue + try: + rec = json.loads(line) + except Exception: + continue + response = rec.get("response") or {} + turns.append( + self._RolloutTurn( + turn=int(rec.get("turn") or 0), + finish_reason=rec.get("finish_reason"), + completion_tokens=list(rec.get("completion_tokens") or []), + completion_token_ids=list(rec.get("completion_token_ids") or []), + per_token_logps=[ + float(x) for x in (rec.get("per_token_logps") or []) + if x is not None + ], + latency_s=float(rec.get("latency_s") or 0.0), + timestamp=float(rec.get("timestamp") or 0.0), + upstream_status=response.get("upstream_status"), + upstream_error=response.get("upstream_error"), + ) + ) + return turns + + @staticmethod + def _safe_read(sandbox: Any, path: str) -> str: + try: + return sandbox.read_text(path) or "" + except Exception: + return "" diff --git a/envs/pi_env/uv.lock b/envs/pi_env/uv.lock new file mode 100644 index 000000000..bf989959c --- /dev/null +++ b/envs/pi_env/uv.lock @@ -0,0 +1,3417 @@ +version = 1 +revision = 2 +requires-python = ">=3.10" +resolution-markers = [ + "python_full_version >= '3.14' and sys_platform == 'win32'", + "python_full_version >= '3.14' and sys_platform != 'win32'", + "python_full_version == '3.13.*' and sys_platform == 'win32'", + "python_full_version == '3.13.*' and sys_platform != 'win32'", + "python_full_version == '3.12.*' and sys_platform == 'win32'", + "python_full_version == '3.12.*' and sys_platform == 'emscripten'", + "python_full_version == '3.12.*' and 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catalog card in environments.md and the _toctree.yml nav entry are added manually (the script does not manage those). check-env-docs now passes. --- docs/source/_toctree.yml | 2 + docs/source/environments.md | 7 ++ docs/source/environments/pi.md | 210 +++++++++++++++++++++++++++++++++ 3 files changed, 219 insertions(+) create mode 100644 docs/source/environments/pi.md diff --git a/docs/source/_toctree.yml b/docs/source/_toctree.yml index 499138c66..d80d68ef5 100644 --- a/docs/source/_toctree.yml +++ b/docs/source/_toctree.yml @@ -129,6 +129,8 @@ title: Agent World Model - local: environments/opencode title: OpenCode + - local: environments/pi + title: Pi - local: environments/sophistry_bench_sprint title: Sophistry Bench Sprint title: Environments diff --git a/docs/source/environments.md b/docs/source/environments.md index beb19be62..de25b0736 100644 --- a/docs/source/environments.md +++ b/docs/source/environments.md @@ -258,6 +258,13 @@ The OpenEnv community has built a catalog of ready-to-run environments that cove 📄 Docs +
+
Pi
+

pi_env runs the Pi coding agent inside an isolated Hugging Face sandbox against any OpenAI-compatible LLM endpoint, optionally capturing per-token logprobs.

+
+ 📄 Docs +
+
Sophistry Bench Sprint

sophistry_bench_sprint_env is a single-turn advocacy reward-hacking environment on QuALITY passages: the policy defends an assigned answer and the reward proxy peaks at 8 <claim> tags, with four weight-0 canaries that detect format hacking.

diff --git a/docs/source/environments/pi.md b/docs/source/environments/pi.md new file mode 100644 index 000000000..21dcf590f --- /dev/null +++ b/docs/source/environments/pi.md @@ -0,0 +1,210 @@ + +# Pi Environment for OpenEnv + +`pi_env` runs the [Pi](https://github.com/badlogic/pi-mono) coding agent +inside an isolated [Hugging Face sandbox](https://huggingface.co/docs/huggingface_hub/guides/sandboxes) +against any OpenAI-compatible LLM endpoint, optionally capturing per-token +logprobs for GRPO training. + +It mirrors [`opencode_env`](../opencode_env): same two-layer design (an +in-process harness primitive + a deployable HTTP env), same transparent-proxy +logprob capture, same uniform `(instruction, setup, verify)` Task shape. The +agent is Pi instead of OpenCode, and the default sandbox backend is Hugging +Face instead of E2B. + +The env is **task-agnostic** — every rollout is configured at call-time +with a uniform Task shape: + + - **`instruction`** — prompt for the agent + - **`setup`** — list of bash commands run *before* the agent (pip install, + git clone, file downloads — anything you need staged in the sandbox) + - **`verify`** — list of bash commands run *after* the agent (asserts, + pytest invocations, score-file writes) + +Reward = `passed_verify / total_verify` unless any `verify` command writes +a float to `/root/logs/verifier/reward.txt` (override). + +## In-process primitive (no HTTP) + +For trainers that drive a sandbox directly without an HTTP boundary — this is +what loop-owning GRPO training uses: + +```python +import os +from pi_env import PiConfig, PiSessionFactory, PiTask, HFSandboxBackend + +factory = PiSessionFactory( + config=PiConfig( + base_url="https://api.openai.com/v1", + api_key=os.environ["OPENAI_API_KEY"], + model="gpt-4o-mini", + sandbox_home="/root", # HF sandbox execs as root + ), + sandbox_backend=HFSandboxBackend(image="python:3.12"), + mode="transparent_proxy", # captures per-token logprobs +) +session = factory.create(task=PiTask(instruction="...")) +session.wait_for_completion() +turns = session.fetch_proxy_trace() # per-turn (tokens, logprobs) +session.close() +``` + +Pi is pointed at the endpoint via a `models.json` provider block written under +`PI_CODING_AGENT_DIR` (`api: openai-completions`), then launched headless with +`pi --print --no-session --mode json`. In `transparent_proxy` mode the +in-sandbox proxy fronts `base_url`, injects `logprobs=true`, and writes each +turn's `(messages, completion_token_ids, per_token_logps)` to +`proxy_trace.jsonl`. + +### Sandbox backend + +`HFSandboxBackend` (from `opencode_env.sandbox`, shared with `opencode_env`) +runs the agent in a Hugging Face sandbox. `image="python:3.12"` cold-installs +Node 22 (bootstrapped) + the Pi CLI (`npm install -g @mariozechner/pi-coding-agent`) ++ the proxy's Python deps on every rollout. Any backend satisfying the +`SandboxBackend` / `SandboxHandle` / `BgJob` protocols in +`opencode_env.sandbox.base` can be plugged in the same way. + +> The sandbox backend and interception proxy live in `opencode_env` for now; +> the plan is to consolidate both into `openenv.core` so `pi_env` and +> `opencode_env` share them without a cross-package import. + +## Deployed env (HTTP) + +The deployed Space exposes: + +- **Web UI** at `/web` — pick endpoint, write task, hit Run, watch live phase + log + reward + logprobs. +- **MCP tool API** at `/mcp` — programmatic `run_rollout` calls. +- **OpenAPI docs** at `/docs`, **health** at `/health`. + +```python +import os +from pi_env import PiEnv + +with PiEnv(base_url="https://-pi-env.hf.space") as env: + env.reset() + result = env.run_rollout( + endpoint="openai", # vllm | openai | hf_router + api_key=os.environ["OPENAI_API_KEY"], # or set as a Space secret + instruction=( + "Create binary_search.py exposing def binary_search(arr, target) -> int " + "that returns the index of target in arr, or -1 if absent." + ), + setup=[], + verify=[ + "test -f /root/workdir/binary_search.py", + "python -c \"import sys; sys.path.insert(0, '/root/workdir'); " + "import binary_search; " + "assert binary_search.binary_search([1,2,3], 2) == 1; print('OK')\"", + ], + task_id="binary_search_v1", + ) + print("reward:", result.reward) + print("turns:", len(result.proxy_turns)) +``` + +## The MCP Tool: `run_rollout` + +Single tool, two ways to specify the LLM endpoint: + +**Option A — endpoint shorthand (recommended)**: pass `endpoint="vllm"` (or +`"openai"` / `"hf_router"`). The server resolves `base_url`, `api_key`, and +`model` from env vars + catalog defaults. Any explicit field overrides. + +**Option B — fully explicit**: pass `base_url` + `api_key` + `model` directly. + +| Arg | Type | Default | Notes | +|---|---|---|---| +| `endpoint` | `str` | `""` | One of `"vllm"` / `"openai"` / `"hf_router"`. | +| `base_url` / `api_key` / `model` | `str` | `""` | Override / supply explicitly. | +| `instruction` | `str` | required | Prompt passed to `pi`. | +| `setup` | `list[str]` | `[]` | Bash commands run **before** the agent. | +| `verify` | `list[str]` | `[]` | Bash commands run **after** the agent. | +| `task_id` | `str` | `""` | Echoed back in result. | +| `mode` | `str` | `"transparent_proxy"` | Or `"black_box"` (no logprobs). | +| `disable_thinking` | `bool \| None` | `None` (catalog default) | Inject `chat_template_kwargs.enable_thinking=false`. | +| `max_tokens_cap` | `int` | `4096` | Per-turn `max_tokens` clamp. | +| `top_logprobs` | `int` | `5` | HF Router cap is 5; OpenAI 0–20; vLLM unbounded. | +| `agent_timeout_s` | `float` | `600.0` | Hard wall budget for one `pi` run. | +| `image` | `str` | `""` | HF sandbox image; blank → `python:3.12` (cold-installs Node + Pi). | + +Returns `RolloutResult` JSON with: `reward`, `setup_results[]`, +`verify_results[]`, `proxy_turns[]`, `files{}`, `agent_log_tail`, +`proxy_log_tail`, `wall_s`, `agent_exit_code`, `sandbox_id`, `error`. + +## Two Operating Modes + +| Mode | What it does | Best for | +|---|---|---| +| **`transparent_proxy`** (default) | In-sandbox proxy at `localhost:7000` forwards Pi's LLM calls to `base_url`, injects `logprobs=true`, captures per-turn `(messages, completion_tokens, logprobs)` to `proxy_trace.jsonl`. | GRPO / RL training, observability, top-k distillation. | +| **`black_box`** | No proxy. Pi talks straight to `base_url`. | Smoke tests, eval, SFT data collection. | + +## Building the Docker Image + +```bash +cd envs/pi_env + +openenv validate # check pyproject.toml + openenv.yaml + server/app.py + uv.lock +openenv build -t pi-env # builds the image (uses server/Dockerfile) + +# run locally with an HF token (Sandbox + Jobs access) +docker run -p 8000:8000 -e HF_TOKEN=hf_... pi-env +``` + +Or build directly: + +```bash +docker build -t pi-env -f envs/pi_env/server/Dockerfile envs/pi_env +``` + +## Environment Variables + +| Variable | Required | Purpose | +|---|---|---| +| `HF_TOKEN` | **yes** for any rollout | Hugging Face sandbox credentials. | +| `MAX_CONCURRENT_ENVS` | no | Env-instance pool size. Default `4`. | +| `ENABLE_WEB_INTERFACE` | no | Set `false` to disable the `/web` Gradio mount. Default `true`. | +| `VLLM_URL` / `VLLM_API_KEY` / `VLLM_MODEL` | for `endpoint="vllm"` | OAI-compatible base URL (key defaults to `intercepted`). | +| `OPENAI_API_KEY` / `OPENAI_BASE_URL` / `OPENAI_MODEL` | for `endpoint="openai"` | Standard OpenAI. | +| `HF_ROUTER_API_KEY` / `HF_ROUTER_BASE_URL` / `HF_ROUTER_MODEL` | for `endpoint="hf_router"` | HF Router. | + +Pick `provider:` suffixes that actually return logprobs: +**Together / Nscale / Scaleway / SambaNova / Cerebras**. Avoid Novita / +Hyperbolic / Featherless (silent drop) and Groq (HTTP 400). + +## Project Structure + +``` +pi_env/ +├── README.md # this file +├── openenv.yaml # OpenEnv space spec +├── pyproject.toml # deps + ``server`` entrypoint +├── __init__.py # re-exports primitive + client + models +│ +├── client.py # PiEnv(MCPToolClient) +├── models.py # RolloutResult / RolloutTurn / PiState +│ +├── config.py # PiConfig (primitive) +├── harness.py # PiSession / PiSessionFactory (CLI-only) +├── pi_runtime.py # models.json builder + install/run cmds +├── task.py # PiTask +│ +└── server/ + ├── __init__.py + ├── app.py # FastAPI factory; mounts Gradio at /web + ├── pi_environment.py # MCPEnvironment with single ``run_rollout`` tool + ├── gradio_ui.py # the /web Gradio Blocks UI + ├── catalog.py # endpoint shorthand resolver + └── Dockerfile # multi-stage uv build (used by ``openenv build``) +``` + +The sandbox backend + interception proxy are imported from +[`opencode_env.sandbox`](../opencode_env/sandbox); `pi_env` ships no `sandbox/` +of its own. + +## References + +- [OpenEnv docs](https://huggingface.co/docs/openenv) +- [Pi coding agent](https://github.com/badlogic/pi-mono) +- [Hugging Face sandboxes](https://huggingface.co/docs/huggingface_hub/guides/sandboxes) From 2501c2ca255d9b2bf733dafed7d87c34f0cad58e Mon Sep 17 00:00:00 2001 From: sergiopaniego Date: Wed, 22 Jul 2026 15:59:58 +0200 Subject: [PATCH 04/16] Format test_pi_runtime.py (usort import order + ruff line wrap) --- tests/envs/test_pi_runtime.py | 10 +++++++--- 1 file changed, 7 insertions(+), 3 deletions(-) diff --git a/tests/envs/test_pi_runtime.py b/tests/envs/test_pi_runtime.py index f9806282d..f2db56056 100644 --- a/tests/envs/test_pi_runtime.py +++ b/tests/envs/test_pi_runtime.py @@ -13,12 +13,14 @@ if _p not in sys.path: sys.path.insert(0, _p) -from pi_env.config import PiConfig # noqa: E402 from pi_env import pi_runtime as rt # noqa: E402 +from pi_env.config import PiConfig # noqa: E402 def _cfg(**kw) -> PiConfig: - base = dict(base_url="http://127.0.0.1:7000/v1", model="Qwen/Qwen3-4B-Instruct-2507") + base = dict( + base_url="http://127.0.0.1:7000/v1", model="Qwen/Qwen3-4B-Instruct-2507" + ) base.update(kw) return PiConfig(**base) @@ -29,7 +31,9 @@ def test_model_id_strips_provider_prefix(): def test_models_json_registers_openai_compatible_provider(): - cfg = _cfg(provider_name="intercepted", api_key="k", context_window=4096, max_tokens=512) + cfg = _cfg( + provider_name="intercepted", api_key="k", context_window=4096, max_tokens=512 + ) doc = json.loads(rt.build_models_json(cfg)) provider = doc["providers"]["intercepted"] assert provider["api"] == "openai-completions" From 271f94a6fa14465dd743c5dee45521380eb982ca Mon Sep 17 00:00:00 2001 From: sergiopaniego Date: Wed, 22 Jul 2026 16:18:14 +0200 Subject: [PATCH 05/16] Address review: fix docs links, node version gate, black-box model id, pipefail - README: correct the HF sandbox docs URL, drop redundant/circular links - .dockerignore: HF_TOKEN, not E2B_API_KEY - pi_runtime: gate Node >=22.19 (not just major 22); use the full model id and select by --provider so a slashed id isn't split; set -o pipefail so the piped tee doesn't mask Pi's exit code --- docs/source/environments/pi.md | 13 +++---------- envs/pi_env/.dockerignore | 2 +- envs/pi_env/README.md | 13 +++---------- envs/pi_env/pi_runtime.py | 14 ++++++-------- tests/envs/test_pi_runtime.py | 13 +++++-------- 5 files changed, 18 insertions(+), 37 deletions(-) diff --git a/docs/source/environments/pi.md b/docs/source/environments/pi.md index 21dcf590f..935c137aa 100644 --- a/docs/source/environments/pi.md +++ b/docs/source/environments/pi.md @@ -2,11 +2,11 @@ # Pi Environment for OpenEnv `pi_env` runs the [Pi](https://github.com/badlogic/pi-mono) coding agent -inside an isolated [Hugging Face sandbox](https://huggingface.co/docs/huggingface_hub/guides/sandboxes) +inside an isolated [Hugging Face sandbox](https://huggingface.co/docs/huggingface_hub/package_reference/sandbox) against any OpenAI-compatible LLM endpoint, optionally capturing per-token logprobs for GRPO training. -It mirrors [`opencode_env`](../opencode_env): same two-layer design (an +It mirrors `opencode_env`: same two-layer design (an in-process harness primitive + a deployable HTTP env), same transparent-proxy logprob capture, same uniform `(instruction, setup, verify)` Task shape. The agent is Pi instead of OpenCode, and the default sandbox backend is Hugging @@ -200,11 +200,4 @@ pi_env/ ``` The sandbox backend + interception proxy are imported from -[`opencode_env.sandbox`](../opencode_env/sandbox); `pi_env` ships no `sandbox/` -of its own. - -## References - -- [OpenEnv docs](https://huggingface.co/docs/openenv) -- [Pi coding agent](https://github.com/badlogic/pi-mono) -- [Hugging Face sandboxes](https://huggingface.co/docs/huggingface_hub/guides/sandboxes) +`opencode_env.sandbox`; `pi_env` ships no `sandbox/` of its own. diff --git a/envs/pi_env/.dockerignore b/envs/pi_env/.dockerignore index 97e814769..28171523c 100644 --- a/envs/pi_env/.dockerignore +++ b/envs/pi_env/.dockerignore @@ -8,7 +8,7 @@ __pycache__ .mypy_cache .ruff_cache -# NEVER ship secrets into the image. The container reads E2B_API_KEY etc. +# NEVER ship secrets into the image. The container reads HF_TOKEN etc. # from runtime env vars (HF Space secrets, ``docker run -e``). .env .env.* diff --git a/envs/pi_env/README.md b/envs/pi_env/README.md index d2e13d2a6..7ee9fc55b 100644 --- a/envs/pi_env/README.md +++ b/envs/pi_env/README.md @@ -15,11 +15,11 @@ short_description: Pi coding agent in a Hugging Face sandbox with logprob captur # Pi Environment for OpenEnv `pi_env` runs the [Pi](https://github.com/badlogic/pi-mono) coding agent -inside an isolated [Hugging Face sandbox](https://huggingface.co/docs/huggingface_hub/guides/sandboxes) +inside an isolated [Hugging Face sandbox](https://huggingface.co/docs/huggingface_hub/package_reference/sandbox) against any OpenAI-compatible LLM endpoint, optionally capturing per-token logprobs for GRPO training. -It mirrors [`opencode_env`](../opencode_env): same two-layer design (an +It mirrors `opencode_env`: same two-layer design (an in-process harness primitive + a deployable HTTP env), same transparent-proxy logprob capture, same uniform `(instruction, setup, verify)` Task shape. The agent is Pi instead of OpenCode, and the default sandbox backend is Hugging @@ -213,11 +213,4 @@ pi_env/ ``` The sandbox backend + interception proxy are imported from -[`opencode_env.sandbox`](../opencode_env/sandbox); `pi_env` ships no `sandbox/` -of its own. - -## References - -- [OpenEnv docs](https://huggingface.co/docs/openenv) -- [Pi coding agent](https://github.com/badlogic/pi-mono) -- [Hugging Face sandboxes](https://huggingface.co/docs/huggingface_hub/guides/sandboxes) +`opencode_env.sandbox`; `pi_env` ships no `sandbox/` of its own. diff --git a/envs/pi_env/pi_runtime.py b/envs/pi_env/pi_runtime.py index 0678f73c2..f12a84f5a 100644 --- a/envs/pi_env/pi_runtime.py +++ b/envs/pi_env/pi_runtime.py @@ -80,11 +80,6 @@ def proxy_log_path(config: PiConfig) -> str: return f"{config.sandbox_home}/logs/agent/proxy.log" -def model_id(config: PiConfig) -> str: - """Model id Pi sends upstream. The proxy overrides it with the real model.""" - return config.model.split("/", 1)[-1] - - def build_models_json(config: PiConfig) -> str: """Return the serialized ``models.json`` registering one OpenAI-compatible provider.""" doc = { @@ -95,7 +90,7 @@ def build_models_json(config: PiConfig) -> str: "apiKey": config.api_key, "models": [ { - "id": model_id(config), + "id": config.model, "name": "Intercepted Model", "reasoning": False, "input": ["text"], @@ -121,7 +116,8 @@ def build_install_cmd(config: PiConfig) -> str: f"mkdir -p {home}/.pi/agent {home}/logs/agent {home}/logs/verifier {home}/task {home}/workdir && " # Bootstrap Node 22 when the image ships none new enough (pi needs >=22.19). 'if ! command -v node >/dev/null 2>&1 || ' - '! node -e "process.exit(+process.versions.node.split(\'.\')[0]>=22?0:1)"; then ' + '! node -e "const v=process.versions.node.split(\'.\').map(Number); ' + 'process.exit(v[0]>22||(v[0]===22&&v[1]>=19)?0:1)"; then ' "A=$(uname -m); case $A in x86_64) A=x64;; aarch64|arm64) A=arm64;; esac && " f"curl -fsSL https://nodejs.org/dist/v{_NODE_VERSION}/node-v{_NODE_VERSION}-linux-$A.tar.xz " f"| tar -xJ -C {home} && ln -sfn {home}/node-v{_NODE_VERSION}-linux-$A {node_dir(config)}; fi && " @@ -139,12 +135,14 @@ def build_run_cmd(config: PiConfig) -> str: if config.system_prompt else "" ) + # Select by --provider only (a "/" in --model is parsed as provider/id). return ( + "set -o pipefail && " f'export PATH="{node_dir(config)}/bin:$PATH" && ' f"cd {workdir_path(config)} && " f"{pi_bin_path(config)} -p --no-session --mode json " "--no-context-files --no-extensions --no-skills --no-prompt-templates " - f"--provider {config.provider_name} --model {model_id(config)} " + f"--provider {config.provider_name} " f"{tools_flag}{system_flag}" f'"$(cat {instruction_path(config)})" ' f"2>&1 | tee {agent_log_path(config)}" diff --git a/tests/envs/test_pi_runtime.py b/tests/envs/test_pi_runtime.py index f2db56056..b103c8731 100644 --- a/tests/envs/test_pi_runtime.py +++ b/tests/envs/test_pi_runtime.py @@ -25,12 +25,7 @@ def _cfg(**kw) -> PiConfig: return PiConfig(**base) -def test_model_id_strips_provider_prefix(): - assert rt.model_id(_cfg()) == "Qwen3-4B-Instruct-2507" - assert rt.model_id(_cfg(model="bare")) == "bare" - - -def test_models_json_registers_openai_compatible_provider(): +def test_models_json_uses_full_model_id(): cfg = _cfg( provider_name="intercepted", api_key="k", context_window=4096, max_tokens=512 ) @@ -40,7 +35,7 @@ def test_models_json_registers_openai_compatible_provider(): assert provider["baseUrl"] == "http://127.0.0.1:7000/v1" assert provider["apiKey"] == "k" model = provider["models"][0] - assert model["id"] == "Qwen3-4B-Instruct-2507" + assert model["id"] == "Qwen/Qwen3-4B-Instruct-2507" assert model["contextWindow"] == 4096 assert model["maxTokens"] == 512 # Pi requires a cost block on custom models. @@ -65,7 +60,9 @@ def test_run_cmd_is_headless_json_and_points_at_provider(): cmd = rt.build_run_cmd(cfg) for flag in ("-p", "--no-session", "--mode json", "--no-context-files"): assert flag in cmd - assert "--provider intercepted --model Qwen3-4B-Instruct-2507" in cmd + assert "--provider intercepted" in cmd + assert "--model" not in cmd + assert "set -o pipefail" in cmd assert "--tools read,bash" in cmd assert '"$(cat /root/task/instruction.md)"' in cmd assert "tee /root/logs/agent/pi.jsonl" in cmd From 7798e3ceb120e0e9f6db83a33cd04f892a852af9 Mon Sep 17 00:00:00 2001 From: sergiopaniego Date: Wed, 22 Jul 2026 16:28:37 +0200 Subject: [PATCH 06/16] Keep server/client separation in pi_env server; correct setup timing docs Import the primitive from its defining modules instead of the top-level pi_env package (which re-exports the client), per the server/client-separation invariant. Reword the setup docs: it runs at rollout start, not strictly before the agent. --- envs/pi_env/client.py | 4 ++-- envs/pi_env/server/gradio_ui.py | 2 +- envs/pi_env/server/pi_environment.py | 21 +++++++++++++-------- 3 files changed, 16 insertions(+), 11 deletions(-) diff --git a/envs/pi_env/client.py b/envs/pi_env/client.py index 9cbf34b8d..ff1a09829 100644 --- a/envs/pi_env/client.py +++ b/envs/pi_env/client.py @@ -79,8 +79,8 @@ def run_rollout( (e.g. ``"gpt-4o-mini"``, ``"Qwen/Qwen3.5-4B"``, ``"Qwen/Qwen3-4B-Instruct-2507:nscale"``). instruction: Prompt passed to ``pi``. - setup: Bash commands run sequentially **before** the agent starts. - Each command runs in the sandbox; non-zero exit aborts setup. + setup: Bash commands run sequentially in the sandbox at rollout + start. Each runs in the sandbox; non-zero exit aborts setup. verify: Bash commands run sequentially **after** the agent exits. Reward = ``passed_count / total`` unless any command writes a float to ``/root/logs/verifier/reward.txt`` (override). diff --git a/envs/pi_env/server/gradio_ui.py b/envs/pi_env/server/gradio_ui.py index 792e71e93..7570105fb 100644 --- a/envs/pi_env/server/gradio_ui.py +++ b/envs/pi_env/server/gradio_ui.py @@ -457,7 +457,7 @@ def apply_preset(name: str) -> tuple[str, str, str]: with gr.Row(): setup_text = gr.Textbox( - label="Setup (one bash command per line — runs BEFORE the agent)", + label="Setup (one bash command per line — runs at rollout start)", lines=5, value=PRESETS["binary_search"]["setup"], ) diff --git a/envs/pi_env/server/pi_environment.py b/envs/pi_env/server/pi_environment.py index d5b61b86f..99bf17105 100644 --- a/envs/pi_env/server/pi_environment.py +++ b/envs/pi_env/server/pi_environment.py @@ -9,8 +9,8 @@ Single MCP tool ``run_rollout`` that takes a uniform Task shape: - ``instruction`` — prompt for the agent - - ``setup`` — bash commands run BEFORE the agent (in the sandbox) - - ``verify`` — bash commands run AFTER the agent + - ``setup`` — bash commands run in the sandbox at rollout start + - ``verify`` — bash commands run after the agent finishes Reward = ``passed_verify_commands / total`` unless a verify command writes a float to ``/root/logs/verifier/reward.txt`` (override). @@ -80,12 +80,17 @@ def __init__(self) -> None: RolloutTurn, ) - from pi_env import ( - HFSandboxBackend, - PiConfig, - PiSessionFactory, - PiTask, - ) + # Import the primitive from its defining modules (not the top-level + # package, which re-exports the client) to keep server/client separate. + try: + from ..config import PiConfig + from ..harness import PiSessionFactory + from ..task import PiTask + except ImportError: # pragma: no cover + from config import PiConfig # type: ignore + from harness import PiSessionFactory # type: ignore + from task import PiTask # type: ignore + from opencode_env.sandbox import HFSandboxBackend self._CommandResult = CommandResult self._RolloutResult = RolloutResult From 82d3c199a1c5de767d2c5eab0e4649207ed4d036 Mon Sep 17 00:00:00 2001 From: sergiopaniego Date: Wed, 22 Jul 2026 16:59:55 +0200 Subject: [PATCH 07/16] Address review: cover cold-bootstrap in timeouts, doc peer-dep, drop dead field - harness/server: size the sandbox lifetime and MCP-tool timeout to the full Node+Pi cold install, not just the agent - README: note the opencode_env install prerequisite for the primitive path; correct the server Dockerfile comment - config: drop unused request_timeout_ms - client: document the endpoint shorthand --- docs/source/environments/pi.md | 7 ++++++- envs/pi_env/README.md | 7 ++++++- envs/pi_env/client.py | 3 +++ envs/pi_env/config.py | 1 - envs/pi_env/harness.py | 5 ++++- envs/pi_env/server/Dockerfile | 10 ++++------ envs/pi_env/server/pi_environment.py | 8 ++++---- 7 files changed, 27 insertions(+), 14 deletions(-) diff --git a/docs/source/environments/pi.md b/docs/source/environments/pi.md index 935c137aa..a992e04a2 100644 --- a/docs/source/environments/pi.md +++ b/docs/source/environments/pi.md @@ -27,7 +27,12 @@ a float to `/root/logs/verifier/reward.txt` (override). ## In-process primitive (no HTTP) For trainers that drive a sandbox directly without an HTTP boundary — this is -what loop-owning GRPO training uses: +what loop-owning GRPO training uses. The primitive reuses the sandbox backend + +proxy from `opencode_env`, so install it alongside `pi_env`: + +```bash +pip install "openenv-opencode-env @ git+https://github.com/huggingface/OpenEnv.git#subdirectory=envs/opencode_env" +``` ```python import os diff --git a/envs/pi_env/README.md b/envs/pi_env/README.md index 7ee9fc55b..f9651013e 100644 --- a/envs/pi_env/README.md +++ b/envs/pi_env/README.md @@ -40,7 +40,12 @@ a float to `/root/logs/verifier/reward.txt` (override). ## In-process primitive (no HTTP) For trainers that drive a sandbox directly without an HTTP boundary — this is -what loop-owning GRPO training uses: +what loop-owning GRPO training uses. The primitive reuses the sandbox backend + +proxy from `opencode_env`, so install it alongside `pi_env`: + +```bash +pip install "openenv-opencode-env @ git+https://github.com/huggingface/OpenEnv.git#subdirectory=envs/opencode_env" +``` ```python import os diff --git a/envs/pi_env/client.py b/envs/pi_env/client.py index ff1a09829..81bcdef8a 100644 --- a/envs/pi_env/client.py +++ b/envs/pi_env/client.py @@ -72,6 +72,9 @@ def run_rollout( """Run one Pi rollout and return the typed result. Args: + endpoint: Shorthand selector (``"vllm"`` / ``"openai"`` / + ``"hf_router"``) resolving base_url/api_key/model from the + server's env + catalog. Explicit fields below override it. base_url: OpenAI-compatible LLM endpoint (with trailing /v1). api_key: Bearer token for the LLM. Use ``"intercepted"`` for vLLM if it doesn't enforce auth. diff --git a/envs/pi_env/config.py b/envs/pi_env/config.py index 798e50270..ee4055eb6 100644 --- a/envs/pi_env/config.py +++ b/envs/pi_env/config.py @@ -24,7 +24,6 @@ class PiConfig(BaseModel): base_url: str api_key: str = "intercepted" model: str = "intercepted-model" - request_timeout_ms: int = 600_000 # --- Pi CLI --------------------------------------------------------------- pi_version: str = "latest" diff --git a/envs/pi_env/harness.py b/envs/pi_env/harness.py index 933bd0940..c5daad762 100644 --- a/envs/pi_env/harness.py +++ b/envs/pi_env/harness.py @@ -226,7 +226,10 @@ def create( _log = logging.getLogger(__name__) pi_task = PiTask.coerce(task) - sandbox_timeout = int(self._config.agent_timeout_s) + 300 + # Budget must cover the cold bootstrap (Node + npm + proxy deps) plus the agent. + sandbox_timeout = ( + self._install_timeout_s + self._setup_timeout_s + int(self._config.agent_timeout_s) + 120 + ) _log.info( "factory.create: creating sandbox timeout=%ds mode=%s", diff --git a/envs/pi_env/server/Dockerfile b/envs/pi_env/server/Dockerfile index 6ea377ade..6ca709565 100644 --- a/envs/pi_env/server/Dockerfile +++ b/envs/pi_env/server/Dockerfile @@ -47,12 +47,10 @@ RUN --mount=type=cache,target=/root/.cache/uv \ uv sync --no-editable; \ fi -# The shared sandbox backend + interception proxy live in opencode_env (kept a -# peer dep in pyproject, not a hard dep, so local dev / training installs stay -# lean). Install it explicitly into the venv so the server can import -# ``opencode_env.sandbox``. TEMPORARY: repoint to the branch carrying -# HFSandboxBackend until it lands in main; removed once the shared sandbox -# consolidates into openenv.core. +# The shared sandbox backend + interception proxy live in opencode_env. Install +# it explicitly so the server can import ``opencode_env.sandbox``. Resolves once +# opencode_env (#998) is in main; removed when the shared sandbox moves to +# openenv.core. RUN --mount=type=cache,target=/root/.cache/uv \ uv pip install --python .venv/bin/python \ "openenv-opencode-env @ git+https://github.com/huggingface/OpenEnv.git#subdirectory=envs/opencode_env" diff --git a/envs/pi_env/server/pi_environment.py b/envs/pi_env/server/pi_environment.py index 99bf17105..1e4d46aea 100644 --- a/envs/pi_env/server/pi_environment.py +++ b/envs/pi_env/server/pi_environment.py @@ -40,10 +40,10 @@ from server.catalog import ENDPOINT_KINDS, resolve_endpoint # type: ignore -# One rollout (sandbox cold start + pi install + pi run + verifier) typically -# takes 30-180s; can spike to ~600s under load. Override OpenEnv's 30s -# MCP-tool default so the server doesn't cut us off. -_RUN_ROLLOUT_TIMEOUT_S = 900.0 +# One rollout (sandbox cold start + Node/Pi install + pi run + verifier) can +# reach ~20min worst case on a cold image. Override OpenEnv's 30s MCP-tool +# default so the server doesn't cut us off. +_RUN_ROLLOUT_TIMEOUT_S = 1500.0 # Default Hugging Face sandbox image (cold-installs Node + Pi per rollout). _DEFAULT_IMAGE = "python:3.12" From dca01db201d3680ca627f58f7785d08e2cfd5853 Mon Sep 17 00:00:00 2001 From: sergiopaniego Date: Wed, 22 Jul 2026 17:20:07 +0200 Subject: [PATCH 08/16] Add pre-baked HF sandbox image for pi_env; fix mode docstring Mirror opencode_env's pre-baked image: bake Node + Pi + proxy deps so rollouts skip the cold install (the proxy source is uploaded at runtime since it lives in opencode_env). Also drop the stale '(default)' on transparent_proxy in the harness docstring (the factory default is black_box). --- .github/workflows/docker-build.yml | 3 +++ docs/source/environments/pi.md | 13 ++++++++--- envs/pi_env/README.md | 13 ++++++++--- envs/pi_env/harness.py | 2 +- envs/pi_env/hf_image/Dockerfile | 35 ++++++++++++++++++++++++++++++ 5 files changed, 59 insertions(+), 7 deletions(-) create mode 100644 envs/pi_env/hf_image/Dockerfile diff --git a/.github/workflows/docker-build.yml b/.github/workflows/docker-build.yml index 34ca8f74f..be025dd5f 100644 --- a/.github/workflows/docker-build.yml +++ b/.github/workflows/docker-build.yml @@ -115,6 +115,9 @@ jobs: - name: pi-env dockerfile: envs/pi_env/server/Dockerfile context: envs/pi_env + - name: pi-sandbox + dockerfile: envs/pi_env/hf_image/Dockerfile + context: envs/pi_env - name: openapp-env dockerfile: envs/openapp_env/server/Dockerfile context: envs/openapp_env diff --git a/docs/source/environments/pi.md b/docs/source/environments/pi.md index a992e04a2..a69179844 100644 --- a/docs/source/environments/pi.md +++ b/docs/source/environments/pi.md @@ -66,9 +66,16 @@ turn's `(messages, completion_token_ids, per_token_logps)` to `HFSandboxBackend` (from `opencode_env.sandbox`, shared with `opencode_env`) runs the agent in a Hugging Face sandbox. `image="python:3.12"` cold-installs Node 22 (bootstrapped) + the Pi CLI (`npm install -g @mariozechner/pi-coding-agent`) -+ the proxy's Python deps on every rollout. Any backend satisfying the -`SandboxBackend` / `SandboxHandle` / `BgJob` protocols in -`opencode_env.sandbox.base` can be plugged in the same way. ++ the proxy's Python deps on every rollout. For faster rollouts use the +pre-baked image (Node + Pi + proxy deps already installed), built by CI from +`hf_image/Dockerfile`: + +```python +sandbox_backend=HFSandboxBackend(image="ghcr.io/huggingface/openenv-pi-sandbox:latest") +``` + +Any backend satisfying the `SandboxBackend` / `SandboxHandle` / `BgJob` +protocols in `opencode_env.sandbox.base` can be plugged in the same way. > The sandbox backend and interception proxy live in `opencode_env` for now; > the plan is to consolidate both into `openenv.core` so `pi_env` and diff --git a/envs/pi_env/README.md b/envs/pi_env/README.md index f9651013e..d4f06f9fc 100644 --- a/envs/pi_env/README.md +++ b/envs/pi_env/README.md @@ -79,9 +79,16 @@ turn's `(messages, completion_token_ids, per_token_logps)` to `HFSandboxBackend` (from `opencode_env.sandbox`, shared with `opencode_env`) runs the agent in a Hugging Face sandbox. `image="python:3.12"` cold-installs Node 22 (bootstrapped) + the Pi CLI (`npm install -g @mariozechner/pi-coding-agent`) -+ the proxy's Python deps on every rollout. Any backend satisfying the -`SandboxBackend` / `SandboxHandle` / `BgJob` protocols in -`opencode_env.sandbox.base` can be plugged in the same way. ++ the proxy's Python deps on every rollout. For faster rollouts use the +pre-baked image (Node + Pi + proxy deps already installed), built by CI from +`hf_image/Dockerfile`: + +```python +sandbox_backend=HFSandboxBackend(image="ghcr.io/huggingface/openenv-pi-sandbox:latest") +``` + +Any backend satisfying the `SandboxBackend` / `SandboxHandle` / `BgJob` +protocols in `opencode_env.sandbox.base` can be plugged in the same way. > The sandbox backend and interception proxy live in `opencode_env` for now; > the plan is to consolidate both into `openenv.core` so `pi_env` and diff --git a/envs/pi_env/harness.py b/envs/pi_env/harness.py index c5daad762..41aa5df3e 100644 --- a/envs/pi_env/harness.py +++ b/envs/pi_env/harness.py @@ -14,7 +14,7 @@ - ``mode="black_box"`` — Pi talks directly to ``config.base_url``. No proxy, no logprob capture. Use for smoke tests / SFT / eval. - - ``mode="transparent_proxy"`` (default) — an in-sandbox FastAPI proxy sits + - ``mode="transparent_proxy"`` — an in-sandbox FastAPI proxy sits between Pi and the upstream LLM. It injects ``logprobs=true`` on every request and writes per-turn ``(messages, completion_tokens, per_token_logps)`` to ``proxy_trace.jsonl`` for GRPO consumption. diff --git a/envs/pi_env/hf_image/Dockerfile b/envs/pi_env/hf_image/Dockerfile new file mode 100644 index 000000000..e717e61f7 --- /dev/null +++ b/envs/pi_env/hf_image/Dockerfile @@ -0,0 +1,35 @@ +# Pre-baked image for HFSandboxBackend: Node + Pi + proxy deps installed ahead +# of time so rollouts skip the cold install. Use with PiConfig(sandbox_home="/root"). +# +# The interception proxy source lives in opencode_env (outside this build +# context), so it is uploaded by the factory at runtime rather than baked here. +# +# Build context = envs/pi_env: +# docker build -f hf_image/Dockerfile -t /pi-rl:latest . +# docker push /pi-rl:latest + +FROM python:3.12 + +RUN apt-get update \ + && apt-get install -y --no-install-recommends curl ca-certificates xz-utils \ + && rm -rf /var/lib/apt/lists/* + +# Proxy deps that interception.py imports. +RUN pip install --no-cache-dir "fastapi>=0.104" "uvicorn[standard]>=0.24" "httpx>=0.27" + +# Node 22 (pi requires >=22.19) + the pi CLI, at the paths pi_runtime expects. +RUN A=$(uname -m); case $A in x86_64) A=x64;; aarch64|arm64) A=arm64;; esac \ + && curl -fsSL "https://nodejs.org/dist/v22.19.0/node-v22.19.0-linux-$A.tar.xz" | tar -xJ -C /root \ + && ln -sfn "/root/node-v22.19.0-linux-$A" /root/.node \ + && /root/.node/bin/npm install -g --prefix /root/.pi-npm @mariozechner/pi-coding-agent \ + && /root/.pi-npm/bin/pi --version + +# Directory layout the harness expects. +RUN mkdir -p /root/.pi/agent \ + /root/logs/agent \ + /root/logs/verifier \ + /root/task \ + /root/workdir \ + /root/proxy + +WORKDIR /root/workdir From e1e3c27f5ced0b76e3e14fea50f5435957036560 Mon Sep 17 00:00:00 2001 From: sergiopaniego Date: Wed, 22 Jul 2026 17:28:06 +0200 Subject: [PATCH 09/16] Address review: skip verify/reward on failed setup; pipefail proxy-deps; guard UI stderr - server: only run verify + compute reward when the run is clean (a failed setup/agent leaves a half-prepared sandbox); dedupe the endpoint error paren - harness: set -o pipefail on the proxy-deps install so a failed pip isn't masked by tail - gradio: don't index an empty stderr split (IndexError when exit!=0, no stderr) --- envs/pi_env/harness.py | 4 ++-- envs/pi_env/server/gradio_ui.py | 2 +- envs/pi_env/server/pi_environment.py | 36 ++++++++++++++-------------- 3 files changed, 21 insertions(+), 21 deletions(-) diff --git a/envs/pi_env/harness.py b/envs/pi_env/harness.py index 41aa5df3e..490a3147d 100644 --- a/envs/pi_env/harness.py +++ b/envs/pi_env/harness.py @@ -445,8 +445,8 @@ def _start_proxy( # Install proxy deps (idempotent on retries). self._exec_with_retry( sandbox, - "pip install --quiet 'fastapi>=0.104' 'uvicorn[standard]>=0.24' " - "'httpx>=0.27' 2>&1 | tail -20", + "set -o pipefail && pip install --quiet 'fastapi>=0.104' " + "'uvicorn[standard]>=0.24' 'httpx>=0.27' 2>&1 | tail -20", timeout=180, attempts=3, backoff_s=2.0, diff --git a/envs/pi_env/server/gradio_ui.py b/envs/pi_env/server/gradio_ui.py index 7570105fb..82dff15d4 100644 --- a/envs/pi_env/server/gradio_ui.py +++ b/envs/pi_env/server/gradio_ui.py @@ -144,7 +144,7 @@ def _command_rows(items: list[dict[str, Any]]) -> list[list[str]]: cmd if len(cmd) <= 80 else cmd[:77] + "...", str(it.get("exit_code", "")), f"{it.get('duration_s', 0):.2f}s", - (it.get("stderr") or "").splitlines()[-1][:80] if it.get("exit_code") else "", + next(reversed((it.get("stderr") or "").splitlines()), "")[:80] if it.get("exit_code") else "", ] ) return rows diff --git a/envs/pi_env/server/pi_environment.py b/envs/pi_env/server/pi_environment.py index 1e4d46aea..1adb6649a 100644 --- a/envs/pi_env/server/pi_environment.py +++ b/envs/pi_env/server/pi_environment.py @@ -160,7 +160,7 @@ def run_rollout( if not (base_url and api_key and model): raise ValueError( "must provide either ``endpoint`` (one of " - f"{ENDPOINT_KINDS}) or all of base_url + api_key + model" + f"{', '.join(ENDPOINT_KINDS)}) or all of base_url + api_key + model" ) if not instruction: raise ValueError("instruction is required") @@ -368,23 +368,23 @@ def _emit(msg: str) -> None: result.error = f"agent timeout: {exc}" _emit(f"agent TIMEOUT: {exc}") - # Run verify commands one at a time, capture each. - verify_passed = 0 - for i, cmd in enumerate(verify, 1): - _emit(f"verify [{i}/{len(verify)}]: {cmd[:80]}") - cr = self._exec_command(session.sandbox, cmd) - result.verify_results.append(cr) - if cr.exit_code == 0: - verify_passed += 1 - - # Reward: explicit reward.txt wins; else passed/total of verify. - override = self._read_reward(session.sandbox) - if override is not None: - result.reward = override - elif verify: - result.reward = verify_passed / len(verify) - else: - result.reward = None + # Verify + reward only when the run is clean; a failed setup or + # agent leaves a half-prepared sandbox, so reward stays None. + if result.error is None: + verify_passed = 0 + for i, cmd in enumerate(verify, 1): + _emit(f"verify [{i}/{len(verify)}]: {cmd[:80]}") + cr = self._exec_command(session.sandbox, cmd) + result.verify_results.append(cr) + if cr.exit_code == 0: + verify_passed += 1 + + # Explicit reward.txt wins; else passed/total of verify. + override = self._read_reward(session.sandbox) + if override is not None: + result.reward = override + elif verify: + result.reward = verify_passed / len(verify) # Collect filesystem + proxy trace. _emit("collecting workdir files + proxy trace + logs") From 8bb0c3b8f8614082a6c0f2911d4deb2137e6866e Mon Sep 17 00:00:00 2001 From: sergiopaniego Date: Wed, 22 Jul 2026 17:38:35 +0200 Subject: [PATCH 10/16] Give setup commands a longer timeout than verify (pip install / downloads) --- envs/pi_env/server/pi_environment.py | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) diff --git a/envs/pi_env/server/pi_environment.py b/envs/pi_env/server/pi_environment.py index 1adb6649a..7fc85d2a5 100644 --- a/envs/pi_env/server/pi_environment.py +++ b/envs/pi_env/server/pi_environment.py @@ -56,6 +56,8 @@ PROXY_LOG = f"{HOME}/logs/agent/proxy.log" AGENT_LOG = f"{HOME}/logs/agent/pi.jsonl" VERIFY_TIMEOUT_S = 120 +# Setup can pip-install / download, which easily exceeds the verify budget. +SETUP_TIMEOUT_S = 300 class PiEnvironment(MCPEnvironment): @@ -344,7 +346,7 @@ def _emit(msg: str) -> None: # because pi itself takes >=20s to make its first model call. for i, cmd in enumerate(setup, 1): _emit(f"setup [{i}/{len(setup)}]: {cmd[:80]}") - cr = self._exec_command(session.sandbox, cmd) + cr = self._exec_command(session.sandbox, cmd, timeout=SETUP_TIMEOUT_S) result.setup_results.append(cr) if cr.exit_code != 0: result.error = ( @@ -424,10 +426,10 @@ def _emit(msg: str) -> None: # ── Helpers ──────────────────────────────────────────────────────────── - def _exec_command(self, sandbox: Any, cmd: str) -> Any: + def _exec_command(self, sandbox: Any, cmd: str, timeout: int = VERIFY_TIMEOUT_S) -> Any: t = time.time() try: - r = sandbox.exec(cmd, timeout=VERIFY_TIMEOUT_S) + r = sandbox.exec(cmd, timeout=timeout) return self._CommandResult( cmd=cmd, exit_code=int(r.exit_code), From 95d7d4f7dc63a9f1d06e48b0ca5db7b56a388baf Mon Sep 17 00:00:00 2001 From: sergiopaniego Date: Wed, 22 Jul 2026 17:50:04 +0200 Subject: [PATCH 11/16] Use get_token() for the HF credential check; gate proxy deps vs source separately - token check via huggingface_hub.get_token() (HF_TOKEN, legacy var, or a cached login) instead of guessing env var names - _start_proxy: skip the pip install when the deps import, independent of the proxy source upload, so the pre-baked image (deps baked, source not) skips it --- envs/pi_env/harness.py | 14 +++++++++----- envs/pi_env/server/pi_environment.py | 14 ++++++++------ 2 files changed, 17 insertions(+), 11 deletions(-) diff --git a/envs/pi_env/harness.py b/envs/pi_env/harness.py index 490a3147d..5ec5c3168 100644 --- a/envs/pi_env/harness.py +++ b/envs/pi_env/harness.py @@ -439,10 +439,13 @@ def _start_proxy( the pip install + source-upload steps when the prebaked template already has them in place. """ - proxy_already_present = sandbox.exists(proxy_source_path(self._config)) - - if not proxy_already_present: - # Install proxy deps (idempotent on retries). + # Deps and source are gated separately: the pre-baked image bakes the + # deps but not the proxy source (it lives in opencode_env, outside the + # pi image build context), so each skip triggers independently. + deps_present = ( + sandbox.exec("python -c 'import fastapi, uvicorn, httpx'", timeout=15).exit_code == 0 + ) + if not deps_present: self._exec_with_retry( sandbox, "set -o pipefail && pip install --quiet 'fastapi>=0.104' " @@ -452,7 +455,8 @@ def _start_proxy( backoff_s=2.0, label="proxy deps install", ) - # Upload the proxy module into the sandbox. + + if not sandbox.exists(proxy_source_path(self._config)): sandbox.write_text( proxy_source_path(self._config), _PROXY_SOURCE_PATH.read_text(), diff --git a/envs/pi_env/server/pi_environment.py b/envs/pi_env/server/pi_environment.py index 7fc85d2a5..cd22e0f49 100644 --- a/envs/pi_env/server/pi_environment.py +++ b/envs/pi_env/server/pi_environment.py @@ -280,15 +280,17 @@ def _emit(msg: str) -> None: t0 = time.time() # Late credential check — keeps the server importable in dev / - # docs-only contexts. - if not (os.environ.get("HF_TOKEN") or os.environ.get("HUGGING_FACE_HUB_TOKEN")): + # docs-only contexts. get_token() covers HF_TOKEN, the legacy env var, + # and a cached ``hf auth login`` token. + from huggingface_hub import get_token + + if not get_token(): result.error = ( - "HF_TOKEN is not set on the server. Configure it in the " - "Space's secrets / your .env / your shell before calling " - "run_rollout." + "No Hugging Face token found. Set HF_TOKEN (Space secret / .env " + "/ shell) or run `hf auth login` before calling run_rollout." ) result.wall_s = round(time.time() - t0, 3) - _emit("error: HF_TOKEN missing on server") + _emit("error: HF token missing on server") return result.model_dump_json() _emit(f"resolving config (model={model}, mode={mode})") From 68eb2b846752db8cfad9481f249bd6beb17de9f3 Mon Sep 17 00:00:00 2001 From: sergiopaniego Date: Thu, 23 Jul 2026 13:38:41 +0200 Subject: [PATCH 12/16] Drop unused os import in pi_environment (token check now uses get_token) --- envs/pi_env/server/pi_environment.py | 1 - 1 file changed, 1 deletion(-) diff --git a/envs/pi_env/server/pi_environment.py b/envs/pi_env/server/pi_environment.py index cd22e0f49..81497128e 100644 --- a/envs/pi_env/server/pi_environment.py +++ b/envs/pi_env/server/pi_environment.py @@ -22,7 +22,6 @@ from __future__ import annotations import json -import os import time from typing import Any, Optional from uuid import uuid4 From 599718ec37d6f037403eadba52cf8fb2060db79d Mon Sep 17 00:00:00 2001 From: sergiopaniego Date: Thu, 23 Jul 2026 14:18:54 +0200 Subject: [PATCH 13/16] Default PiEnv client message timeout to cover a full rollout (server caps at 1500s) --- envs/pi_env/client.py | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/envs/pi_env/client.py b/envs/pi_env/client.py index 81bcdef8a..7d26ad47a 100644 --- a/envs/pi_env/client.py +++ b/envs/pi_env/client.py @@ -48,6 +48,11 @@ class PiEnv(MCPToolClient): / context-manager semantics from :class:`MCPToolClient`. """ + def __init__(self, base_url: str, *, message_timeout_s: float = 1800.0, **kwargs): + # One rollout runs for minutes (the server caps a run at 1500s); the base + # 60s default would time out client-side mid-rollout. + super().__init__(base_url, message_timeout_s=message_timeout_s, **kwargs) + def run_rollout( self, *, From daa57f2b1fb333b2a19eaea888435c694b484d64 Mon Sep 17 00:00:00 2001 From: sergiopaniego Date: Fri, 24 Jul 2026 08:20:52 +0200 Subject: [PATCH 14/16] Retry PiSessionFactory.create() with backoff Mirror of the OpenCodeSessionFactory retry: session creation (sandbox + Pi install + proxy + agent) is the flakiest step, and a single transient failure dropped the rollout as unscorable. create() now retries create_attempts times with exponential backoff; the per-attempt logic moved to _create_once, which already tears its own sandbox down on failure, so a retry never leaks. --- envs/pi_env/harness.py | 35 +++++++++++++++++++++ tests/envs/test_pi_factory_lifecycle.py | 41 +++++++++++++++++++++++-- 2 files changed, 73 insertions(+), 3 deletions(-) diff --git a/envs/pi_env/harness.py b/envs/pi_env/harness.py index 5ec5c3168..4c7556f81 100644 --- a/envs/pi_env/harness.py +++ b/envs/pi_env/harness.py @@ -206,6 +206,8 @@ def __init__( verifier: Verifier | None = None, install_timeout_s: int = 300, setup_timeout_s: int = 300, + create_attempts: int = 3, + create_backoff_s: float = 2.0, ) -> None: if mode not in {"black_box", "transparent_proxy"}: raise ValueError(f"Unknown mode: {mode!r}") @@ -215,12 +217,45 @@ def __init__( self._verifier = verifier self._install_timeout_s = install_timeout_s self._setup_timeout_s = setup_timeout_s + self._create_attempts = create_attempts + self._create_backoff_s = create_backoff_s def create( self, task: Any, seed: int | None = None, episode_id: str | None = None, + ) -> PiSession: + """Create one session, retrying with exponential backoff. + + Session creation spins up a sandbox, installs Pi, and starts the proxy + + agent, the flakiest step in a rollout. Each failed attempt tears its own + sandbox down (see :meth:`_create_once`), so a retry never leaks. + """ + import logging + import time + + _log = logging.getLogger(__name__) + last_exc: Exception = RuntimeError("create_attempts must be >= 1") + for i in range(self._create_attempts): + try: + return self._create_once(task, seed=seed, episode_id=episode_id) + except Exception as exc: # noqa: BLE001 + last_exc = exc + if i + 1 < self._create_attempts: + backoff = self._create_backoff_s * (2**i) + _log.warning( + "factory.create attempt %d/%d failed (%r); retrying in %.1fs", + i + 1, self._create_attempts, exc, backoff, + ) + time.sleep(backoff) + raise last_exc + + def _create_once( + self, + task: Any, + seed: int | None = None, + episode_id: str | None = None, ) -> PiSession: import logging _log = logging.getLogger(__name__) diff --git a/tests/envs/test_pi_factory_lifecycle.py b/tests/envs/test_pi_factory_lifecycle.py index a81952a81..91d329e49 100644 --- a/tests/envs/test_pi_factory_lifecycle.py +++ b/tests/envs/test_pi_factory_lifecycle.py @@ -35,16 +35,17 @@ def create(self, **kwargs): return self._sandbox -def _factory(sandbox): +def _factory(sandbox, **overrides): return PiSessionFactory( config=PiConfig(base_url="http://localhost:8000/v1"), sandbox_backend=_FakeBackend(sandbox), + **overrides, ) def test_create_kills_sandbox_when_bootstrap_fails(monkeypatch): sandbox = _FakeSandbox() - factory = _factory(sandbox) + factory = _factory(sandbox, create_attempts=1) monkeypatch.setattr( factory, "_bootstrap_sandbox", @@ -61,7 +62,7 @@ def kill(self): raise RuntimeError("kill failed") sandbox = _KillRaises() - factory = _factory(sandbox) + factory = _factory(sandbox, create_attempts=1) monkeypatch.setattr( factory, "_bootstrap_sandbox", @@ -70,3 +71,37 @@ def kill(self): # The original bootstrap failure must surface, not the cleanup error. with pytest.raises(RuntimeError, match="boom"): factory.create("write a function") + + +def test_create_retries_then_succeeds(monkeypatch): + # create() retries a flaky _create_once and returns once it succeeds. + sandbox = _FakeSandbox() + factory = _factory(sandbox, create_attempts=3, create_backoff_s=0) + calls = {"n": 0} + session = object() + + def _flaky(task, seed=None, episode_id=None): + calls["n"] += 1 + if calls["n"] < 3: + raise RuntimeError("transient create failure") + return session + + monkeypatch.setattr(factory, "_create_once", _flaky) + assert factory.create("write a function") is session + assert calls["n"] == 3 + + +def test_create_raises_after_exhausting_attempts(monkeypatch): + # A persistent failure is re-raised after create_attempts tries. + sandbox = _FakeSandbox() + factory = _factory(sandbox, create_attempts=3, create_backoff_s=0) + calls = {"n": 0} + + def _always_fails(task, seed=None, episode_id=None): + calls["n"] += 1 + raise RuntimeError("persistent create failure") + + monkeypatch.setattr(factory, "_create_once", _always_fails) + with pytest.raises(RuntimeError, match="persistent create failure"): + factory.create("write a function") + assert calls["n"] == 3 From 01f9dca6c49ebaea84b1ed45271de3069ac5d4ba Mon Sep 17 00:00:00 2001 From: sergiopaniego Date: Thu, 30 Jul 2026 12:27:57 +0200 Subject: [PATCH 15/16] Run setup before the agent and skip verify on a non-zero agent exit Addresses review: run_rollout ran setup after create() had already started the agent, so setup raced the agent over the workspace. create() now takes start_agent (default True, so the loop-owning training path is unchanged), the server passes start_agent=False, runs setup, then calls session.start_agent(), giving the correct setup then agent then verify order. A non-zero agent exit is now treated like a timeout, so a crashed agent no longer runs verify or earns a reward. AI-assisted. --- envs/pi_env/harness.py | 12 ++++++++++-- envs/pi_env/server/pi_environment.py | 19 +++++++++---------- tests/envs/test_pi_factory_lifecycle.py | 4 ++-- 3 files changed, 21 insertions(+), 14 deletions(-) diff --git a/envs/pi_env/harness.py b/envs/pi_env/harness.py index 4c7556f81..b562bf4f0 100644 --- a/envs/pi_env/harness.py +++ b/envs/pi_env/harness.py @@ -225,12 +225,16 @@ def create( task: Any, seed: int | None = None, episode_id: str | None = None, + start_agent: bool = True, ) -> PiSession: """Create one session, retrying with exponential backoff. Session creation spins up a sandbox, installs Pi, and starts the proxy + agent, the flakiest step in a rollout. Each failed attempt tears its own sandbox down (see :meth:`_create_once`), so a retry never leaks. + + Pass ``start_agent=False`` to return before launching the agent (for + example to run setup first), then call ``session.start_agent()``. """ import logging import time @@ -239,7 +243,9 @@ def create( last_exc: Exception = RuntimeError("create_attempts must be >= 1") for i in range(self._create_attempts): try: - return self._create_once(task, seed=seed, episode_id=episode_id) + return self._create_once( + task, seed=seed, episode_id=episode_id, start_agent=start_agent + ) except Exception as exc: # noqa: BLE001 last_exc = exc if i + 1 < self._create_attempts: @@ -256,6 +262,7 @@ def _create_once( task: Any, seed: int | None = None, episode_id: str | None = None, + start_agent: bool = True, ) -> PiSession: import logging _log = logging.getLogger(__name__) @@ -312,7 +319,8 @@ def _create_once( proxy_trace_path=proxy_trace_path_str, proxy_bg_job=proxy_bg_job, ) - session.start_agent() + if start_agent: + session.start_agent() return session except Exception as exc: _log.error("factory.create: setup failed, killing sandbox: %r", exc) diff --git a/envs/pi_env/server/pi_environment.py b/envs/pi_env/server/pi_environment.py index 81497128e..afc0d7f11 100644 --- a/envs/pi_env/server/pi_environment.py +++ b/envs/pi_env/server/pi_environment.py @@ -331,20 +331,15 @@ def _emit(msg: str) -> None: f"creating HF sandbox (image={image or _DEFAULT_IMAGE}) — " "this is the slow phase (Node + Pi cold-install per rollout)" ) - session = factory.create(task=pi_task) + session = factory.create(task=pi_task, start_agent=False) result.sandbox_id = session.sandbox.sandbox_id _emit( - f"sandbox ready: {result.sandbox_id} — agent started " + f"sandbox ready: {result.sandbox_id} " f"({'proxy on :7000, logprobs capturing' if mode == 'transparent_proxy' else 'direct LLM, no logprobs'})" ) - # Run setup commands one at a time, *before* the agent starts. - # The factory has already started the agent in start_agent() - # during create(); to keep the order "setup → agent → verify" - # we'd need to restructure. As a pragmatic compromise we run - # setup IMMEDIATELY after create(), which races with the agent - # for ~1-2s but is fine for typical pip/git/download work - # because pi itself takes >=20s to make its first model call. + # Run setup one command at a time, before the agent starts. create() + # was called with start_agent=False, so the agent has not launched yet. for i, cmd in enumerate(setup, 1): _emit(f"setup [{i}/{len(setup)}]: {cmd[:80]}") cr = self._exec_command(session.sandbox, cmd, timeout=SETUP_TIMEOUT_S) @@ -356,8 +351,9 @@ def _emit(msg: str) -> None: _emit(f"setup FAILED at [{i}]: exit={cr.exit_code}") break - # Block until the agent is done (or setup already failed). + # Setup is done and clean, so launch the agent now (deferred from create()). if result.error is None: + session.start_agent() _emit( f"agent running — pi CLI in sandbox " f"(timeout {int(agent_timeout_s)}s)" @@ -367,6 +363,9 @@ def _emit(msg: str) -> None: timeout_s=agent_timeout_s ) _emit(f"agent finished: exit_code={result.agent_exit_code}") + if result.agent_exit_code != 0: + result.error = f"agent exited non-zero ({result.agent_exit_code})" + _emit(f"agent FAILED: exit_code={result.agent_exit_code}") except TimeoutError as exc: result.error = f"agent timeout: {exc}" _emit(f"agent TIMEOUT: {exc}") diff --git a/tests/envs/test_pi_factory_lifecycle.py b/tests/envs/test_pi_factory_lifecycle.py index 91d329e49..244c2b622 100644 --- a/tests/envs/test_pi_factory_lifecycle.py +++ b/tests/envs/test_pi_factory_lifecycle.py @@ -80,7 +80,7 @@ def test_create_retries_then_succeeds(monkeypatch): calls = {"n": 0} session = object() - def _flaky(task, seed=None, episode_id=None): + def _flaky(task, seed=None, episode_id=None, start_agent=True): calls["n"] += 1 if calls["n"] < 3: raise RuntimeError("transient create failure") @@ -97,7 +97,7 @@ def test_create_raises_after_exhausting_attempts(monkeypatch): factory = _factory(sandbox, create_attempts=3, create_backoff_s=0) calls = {"n": 0} - def _always_fails(task, seed=None, episode_id=None): + def _always_fails(task, seed=None, episode_id=None, start_agent=True): calls["n"] += 1 raise RuntimeError("persistent create failure") From 7193ad36928656448593903a545a2129ee7c977f Mon Sep 17 00:00:00 2001 From: sergiopaniego Date: Fri, 31 Jul 2026 18:12:48 +0200 Subject: [PATCH 16/16] Add pi_env demo and training tutorial - examples/pi_env_simple.py: inference demo hitting the deployed Space - docs tutorial pi-agent-grpo.md: black-box AsyncGRPO training recipe, links to TRL --- docs/source/_toctree.yml | 2 + docs/source/tutorials/index.md | 1 + docs/source/tutorials/pi-agent-grpo.md | 54 ++++++++++ examples/pi_env_simple.py | 134 +++++++++++++++++++++++++ 4 files changed, 191 insertions(+) create mode 100644 docs/source/tutorials/pi-agent-grpo.md create mode 100644 examples/pi_env_simple.py diff --git a/docs/source/_toctree.yml b/docs/source/_toctree.yml index 880dff2d2..85b64b7d7 100644 --- a/docs/source/_toctree.yml +++ b/docs/source/_toctree.yml @@ -54,6 +54,8 @@ title: RL Training with an Agentic Harness - local: tutorials/sft-warmup title: SFT Training with Environments + - local: tutorials/pi-agent-grpo + title: Training a Real Coding Agent (Pi) title: Tutorials - isExpanded: false sections: diff --git a/docs/source/tutorials/index.md b/docs/source/tutorials/index.md index 98026486f..02b698601 100644 --- a/docs/source/tutorials/index.md +++ b/docs/source/tutorials/index.md @@ -27,4 +27,5 @@ Already familiar with the basics? These tutorials cover specific workflows in de | [Evaluating agents with Inspect AI](evaluation-inspect.md) | Wrap an OpenEnv environment in an Inspect AI `Task`, run it via `InspectAIHarness`, and get a structured `EvalResult`. | No | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/huggingface/OpenEnv/blob/main/examples/evaluation_inspect.ipynb) | | [BrowserGym Harness Rollouts](browsergym-harness.md) | Drive BrowserGym through the OpenEnv harness runtime when a trainer needs token sampling, logprobs, and reward assignment inside the training loop. | Yes | — | | [Collecting rollouts for supervised training](sft-warmup.md) | Run a teacher model to collect reward-labeled rollouts, filter them, and fine-tune a student with TRL's `SFTTrainer` as a warm-start for GRPO. | Yes | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/huggingface/OpenEnv/blob/main/examples/sft_warmup.ipynb) | +| [Training a Real Coding Agent (Pi)](pi-agent-grpo.md) | Train the actual Pi agent (black-box, loop-owning) with TRL's AsyncGRPOTrainer: a transparent proxy captures each turn's token ids and logprobs while the agent runs its own tool loop. | Yes | — | diff --git a/docs/source/tutorials/pi-agent-grpo.md b/docs/source/tutorials/pi-agent-grpo.md new file mode 100644 index 000000000..2f449425d --- /dev/null +++ b/docs/source/tutorials/pi-agent-grpo.md @@ -0,0 +1,54 @@ +# Coding Agent Training with TRL (Pi) + +This tutorial covers the black-box training path: training the actual +[`pi`](https://github.com/badlogic/pi-mono) coding agent, with its own planner, +tools, context management, and stop condition, using TRL's experimental +`AsyncGRPOTrainer`. The agent owns its loop, and OpenEnv captures what it did. + +> [!NOTE] +> Three GRPO patterns, three tutorials. For a standard `reset()` / `step()` +> flow where TRL drives the episode, see the +> [Wordle GRPO tutorial](wordle-grpo.md). For harness rollouts where the +> trainer still generates each turn (white-box), see the +> [BrowserGym harness tutorial](browsergym-harness.md). Use this page when you +> want to train a production agent as-is, without reimplementing its loop. + +## How It Works + +The full recipe lives in TRL. The moving pieces: + +1. Each rollout runs the agent inside an OpenEnv session created by + `PiSessionFactory` from + [`pi_env`](https://github.com/huggingface/OpenEnv/tree/main/envs/pi_env), + in `transparent_proxy` mode. A small proxy inside the sandbox forwards the + agent's `/v1/chat/completions` calls to your vLLM server and records each + turn's token ids and logprobs to a trace. +2. When the agent stops, TRL's `HarnessRolloutWorker` reads the trace, rebuilds + the per-turn training rows from the recorded ids, and scores the final + workspace with the session's `verify()` method (a held-out verifier the + agent never sees). +3. `AsyncGRPOTrainer` trains on those rows, propagating the rollout reward to + every trained token through the group-relative advantage. NCCL weight sync + keeps the vLLM server on the current policy, so the agent always samples + from the model being trained. + +Each rollout gets its own isolated session: one sandbox, one proxy port, one +agent process. Three small functions adapt the recipe to your task: +`rollout_reward_fn` (outcome to scalar reward), `train_turn_fn` (which turns +receive gradient), and `agent_turn_fn` (which trace entries are real agent +turns rather than auxiliary calls like title generation). + +## Full Recipe + +The reference script trains on competitive-coding problems from +`agentica-org/DeepCoder-Preview-Dataset`: the agent writes `solution.py`, and +the verifier runs it against held-out tests, returning the fraction passed. It +is self-contained, runs the agent in a local subprocess sandbox (no container +setup needed), needs two GPUs (one serving the policy with vLLM, one +training). + +- [`examples/scripts/openenv/pi.py`](https://github.com/huggingface/trl/blob/main/examples/scripts/openenv/pi.py) + in TRL: the complete, runnable script. +- [`envs/pi_env`](https://github.com/huggingface/OpenEnv/tree/main/envs/pi_env): + the OpenEnv side, including the session factory, sandbox backends, and the + transparent interception proxy. diff --git a/examples/pi_env_simple.py b/examples/pi_env_simple.py new file mode 100644 index 000000000..ed6a0302b --- /dev/null +++ b/examples/pi_env_simple.py @@ -0,0 +1,134 @@ +#!/usr/bin/env python +# SPDX-License-Identifier: BSD-3-Clause + +"""End-to-end pi_env example: write binary_search.py and verify it. + +Hits the deployed HF Space ``/pi-env`` (override via ``PI_ENV_SPACE`` +env var to point at your own Space or a local container). The single MCP tool +``run_rollout`` does: + + 1. Spawns a fresh Hugging Face sandbox (using the default image, which + cold-installs Node + Pi per rollout; pass ``image=`` to reuse a + prebaked image). + 2. Bootstraps an in-sandbox FastAPI proxy that captures per-token + logprobs (``mode="transparent_proxy"``). + 3. Runs ``pi`` with the instruction. + 4. Executes the verify bash commands; reward = passed / total. + 5. Returns a ``RolloutResult`` with reward + per-turn logprobs + + the file contents the agent produced. + +Prerequisites +------------- +- ``OPENAI_API_KEY`` in the environment (passed to the Space per-call; + doesn't need to be a Space secret). Swap to ``endpoint="vllm"`` or + ``endpoint="hf_router"`` for those backends. + +Usage:: + + PYTHONPATH=src:envs uv run python examples/pi_env_simple.py + +Expected output (a few minutes with a cold sandbox):: + + reward: 1.0 + turns: 3 + files: ['/root/workdir/binary_search.py', ...] + wall: 120.0 s +""" + +from __future__ import annotations + +import asyncio +import os +import sys + +# Make ``envs/`` importable when running from the repo root. +sys.path.insert(0, os.path.join(os.path.dirname(__file__), "..", "src")) +sys.path.insert(0, os.path.join(os.path.dirname(__file__), "..", "envs")) + +from pi_env import PiEnv # noqa: E402 +from pi_env.client import _extract_text # noqa: E402 +from pi_env.models import RolloutResult # noqa: E402 + + +SPACE = os.environ.get("PI_ENV_SPACE", "https://-pi-env.hf.space") + +INSTRUCTION = ( + "Create a single Python file named `binary_search.py` in the current " + "working directory. Use the relative path `binary_search.py`. Expose " + "exactly one function:\n" + " def binary_search(arr: list[int], target: int) -> int\n" + "Return the index of `target` in the sorted list `arr`, or -1 if absent. " + "Use the binary-search algorithm; do not call list.index." +) + +VERIFY = [ + "test -f /root/workdir/binary_search.py", + "python -c \"import sys; sys.path.insert(0, '/root/workdir'); " + "import binary_search; " + "assert binary_search.binary_search([1,2,3,4,5], 3) == 2; " + "assert binary_search.binary_search([1,2,3], 99) == -1; " + "assert binary_search.binary_search([], 1) == -1; " + "print('OK')\"", +] + + +async def main() -> int: + api_key = os.environ.get("OPENAI_API_KEY") + if not api_key: + print( + "ERROR: OPENAI_API_KEY is required (or set as a Space secret and " + "drop the api_key= kwarg below).", + file=sys.stderr, + ) + return 2 + + print(f"Hitting Space: {SPACE}") + print("Endpoint: openai (gpt-4o-mini)") + print(f"Instruction: {INSTRUCTION.splitlines()[0]} ...") + print() + + env = PiEnv(base_url=SPACE) + env.use_production_mode = True + try: + raw = await env.call_tool( + "run_rollout", + endpoint="openai", # vllm | openai | hf_router + api_key=api_key, # or set as Space secret + model="gpt-4o-mini", + instruction=INSTRUCTION, + setup=[], # no setup commands + verify=VERIFY, + task_id="binary_search_simple", + image="", # default sandbox image (cold-installs Node + Pi) + agent_timeout_s=600, + ) + result = RolloutResult.model_validate_json(_extract_text(raw)) + finally: + await env.close() + + print("--- result ---") + print(f"reward: {result.reward}") + print(f"turns: {len(result.proxy_turns)}") + print(f"tokens: {sum(len(t.completion_tokens) for t in result.proxy_turns)}") + print(f"sandbox: {result.sandbox_id}") + print(f"wall_s: {result.wall_s}") + print(f"files: {sorted(result.files)}") + print(f"verify: {[(v.cmd[:40], v.exit_code) for v in result.verify_results]}") + if result.error: + print(f"error: {result.error}") + + if result.proxy_turns: + first = next((t for t in result.proxy_turns if t.completion_tokens), None) + if first: + print() + print("--- first productive turn (first 8 tokens with logprobs) ---") + toks = first.completion_tokens[:8] + lps = first.per_token_logps[:8] + for tok, lp in zip(toks, lps): + print(f" {tok!r:<14} {lp:+.3f}") + + return 0 if result.reward == 1.0 else 1 + + +if __name__ == "__main__": + sys.exit(asyncio.run(main()))