diff --git a/.github/dependabot.yml b/.github/dependabot.yml index d3aac7c20..330e46030 100644 --- a/.github/dependabot.yml +++ b/.github/dependabot.yml @@ -10,6 +10,10 @@ updates: # lint step fails on, so it gets a pull request of its own. ruff: patterns: ["ruff"] + # The nemo-gym extra's tree, locked for Python 3.13.14 or later only, pins some of its dependencies exactly + # (openai), so its updates come in a pull request of their own rather than holding up everyone else's. + nemo-gym: + patterns: ["nemo-gym"] python-minor-and-patch: update-types: ["minor", "patch"] ignore: diff --git a/.github/workflows/nemo-gym.yml b/.github/workflows/nemo-gym.yml new file mode 100644 index 000000000..8f59b8a14 --- /dev/null +++ b/.github/workflows/nemo-gym.yml @@ -0,0 +1,56 @@ +name: NeMo Gym contract + +# Rollouts through NeMo Gym's resources server for a bundle (agent_env.training.nemo_gym, tst/nemo_gym), on the nemo-gym +# uv.lock pins and on the latest nemo-gym, since NeMo RL follows Gym's main branch. nemo-gym needs Python 3.13.14 or +# later, so it isn't in the dev extra the other jobs install. It runs on pull requests that touch the helper, the +# OpenEnv server it plays or the tier, weekly, and on demand; it isn't a required check. + +on: + pull_request: + paths: + - "src/agent_env/training/**" + - "src/agent_env/openenv/**" + - "tst/nemo_gym/**" + - "tst/unit/training/**" + - "pyproject.toml" + - "uv.lock" + - ".github/workflows/nemo-gym.yml" + schedule: + - cron: "41 7 * * 1" + workflow_dispatch: + +permissions: + contents: read + +concurrency: + group: nemo-gym-${{ github.event_name == 'pull_request' && github.ref || github.sha }} + cancel-in-progress: ${{ github.event_name == 'pull_request' }} + +env: + PIP_DISABLE_PIP_VERSION_CHECK: "1" + +jobs: + server: + name: server (nemo-gym ${{ matrix.nemo-gym }}) + runs-on: ubuntu-latest + timeout-minutes: 20 + strategy: + fail-fast: false + matrix: + nemo-gym: ["locked", "latest"] + steps: + - uses: actions/checkout@11d5960a326750d5838078e36cf38b85af677262 # v4.4.0 + - uses: actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065 # v5.6.0 + with: + python-version: "3.13" + - name: Install from uv.lock with the nemo-gym extra + run: | + python -m pip install --quiet -r .github/ci-requirements.txt + uv sync --locked --extra dev --extra nemo-gym --python "$(command -v python)" + if [ "${{ matrix.nemo-gym }}" = latest ]; then uv pip install --python .venv/bin/python --upgrade nemo-gym; fi + .venv/bin/python -c "import nemo_gym; print('nemo-gym', nemo_gym.__version__)" + - name: NeMo Gym tier + run: .venv/bin/python -m pytest tst/nemo_gym -rA --timeout=900 --junitxml=junit-nemo-gym.xml + - name: No skips + if: always() + run: .venv/bin/python .github/scripts/check_skip_policy.py junit-nemo-gym.xml diff --git a/AGENTS.md b/AGENTS.md index 855895d24..b8153dd2c 100644 --- a/AGENTS.md +++ b/AGENTS.md @@ -45,6 +45,7 @@ or one of them only where it is used. | `make int-test-slow` | the `int_test_slow` tests, serially (they build the same Docker tags from module fixtures and race under xdist) | | `make installer-test` | `tst/installer`: `plugin add` / `remove` through the real pip, uv and pipx, offline against wheels built from the checkout, and the container user journey (`python:3.12-slim`, `--network none`) with the PEP 668 refusal; needs uv, pipx and Docker | | `make trl-test` | `tst/trl`: one `GRPOTrainer` step on CPU through `agent_env.training.trl`, with a tiny model from the Hub; needs trl and CPU torch, which the `dev` extra leaves out | +| `make nemo-gym-test` | `tst/nemo_gym`: rollouts through `agent_env.training.nemo_gym`'s resources server in-process; needs the `nemo-gym` extra, on Python 3.13.14 or later, which the `dev` extra leaves out (`uv sync --extra dev --extra nemo-gym`) | | `make clean-install-test` | the `clean-install` CI gate: both distributions built as the release builds them, installed into a fresh venv from public PyPI with an allowlisted environment, and `agent-env run hello` run twice by name and checked through the local store; needs Python 3.11, uv and git | | `npm ci && npm run typecheck && npm run lint && npm run test:smoke` | in `src/agent_env/explorer/ui`: the explorer UI checks the `ui` job runs (it also runs `npm run build:static`); needs Node 22 | | `pytest tst/unit/env/store_test.py -v` | one file; add `--log-cli-level=DEBUG` for debug logs | @@ -114,8 +115,8 @@ and deserialized through a registry. | `config/` | The `Config` singleton (`get_config`, `configure`, `reset_config`) in `config/runtime.py`, file discovery in `config/loader.py`, and `load_impl`, which resolves `module:Class` pointers. `agent_env.store` re-exports the config names for compatibility. | | `providers/` | `providers/sandbox_providers/` holds the sandbox providers `local`, `modal`, `modal_vm`, `e2b`, `sail_vm` (the `sail` extra), `smol_vm` (the `smol` extra), `tensorlake` (the `tensorlake` extra), `tenki` (the `tenki` extra), `vercel` (the `vercel` extra), `boxd` (the `boxd` extra), `daytona` (the `daytona` extra), `boat` (the `boat` extra); `[sandbox] default` and `agent_default` accept a comma-separated fallback chain, whose deploys skip a provider that can't run them. A sandbox provider declares what it runs (`ON_THIS_MACHINE`, and for VMs on this machine the address their requests to it arrive at, `REACHES_HOST_AT`; `CONTAINER_ACCEPTS`, `PRIVATE_NETWORK`; `SUPPORTED_SANDBOX_MODES`, derived from whether it implements `create_sandbox` and `create_vm`; and `SANDBOX_ACCEPTS`, the images an agent's sandbox runs, which defaults to those a VM loads when it implements `create_vm` and to `CONTAINER_ACCEPTS` otherwise, so only a provider that implements `create_vm` yet gives an agent a container, like the local one, declares it), each sandbox carries the `platform` of the images it runs (linux/amd64 unless its provider sets another when it creates it; None, any, unchecked, for a local sandbox), and code outside `providers/sandbox_providers/` reads those, never which provider it has. `providers/env_providers/` holds the environment providers: `EnvironmentProvider` (an env's containers and state store), `EnvironmentGatewayProvider` (`gateway`, an env's default), which renders a docker-compose for the gateway and its MCP servers inside the sandbox, and `EnvironmentServerProvider` (`server`), one MCP server in its own container with no gateway in front and no state store; `providers/env_state/` holds env-state providers (`local_postgres` built in). | | `a2a_agent/` | The `A2AAgent` entity (`a2a_agent`), its stores and the validator steps. The protocol package provides the agent-side framework. | -| `openenv/` | `build_app(bundle)`: the [OpenEnv](https://github.com/openenv/OpenEnv) server for a bundle's tasks, each session playing one episode through the Episode API, with the envs' MCP tools, an added `end_turn` tool and the task's verifier score as the reward. It prepares bundles as `agent-env run` does (`prepare_bundle(played=True)`, without the agent the client plays) and keeps namespace routing on for the app's life. `openenv` comes with the `openenv` extra, a floor with no cap; this package and `training/trl.py` are the only ones that import it. Each task's description in the Task API names its `toolset` (the played agent's envs, role, and whether it gets `bash`). | -| `training/` | One module per outside trainer, each behind its own extra, and `_tools.py`, which turns an env's tools into typed, documented Python methods from their JSON Schema, as transformers' `get_json_schema` reads them. `trl.py` (`trl` extra): `AgentEnv(url)` over a server `openenv/` makes, with `dataset` (a row per task) and `factory` (TRL's `environment_factory`: a generated class per toolset whose methods are the tools, a background `reset` and an owned `get_reward`); `AgentEnv.local(bundle)` serves the bundle in process. | +| `openenv/` | `build_app(bundle)`: the [OpenEnv](https://github.com/openenv/OpenEnv) server for a bundle's tasks, each session playing one episode through the Episode API, with the envs' MCP tools, an added `end_turn` tool and the task's verifier score as the reward. It prepares bundles as `agent-env run` does (`prepare_bundle(played=True)`, without the agent the client plays) and keeps namespace routing on for the app's life. `openenv` comes with the `openenv` extra, a floor with no cap; this package and `training/` are the only ones that import it. Each task's description in the Task API names its `toolset` (the played agent's envs, role, and whether it gets `bash`). | +| `training/` | One module per outside trainer, each behind its own extra; `_openenv.py`, the session on a server `openenv/` makes that both play an episode through (`Session`: a background start, tool calls, the turns left open ended until scored), with the Task API reads, the per-toolset probe and an in-process `Server`; and `_tools.py`, which turns an env's tools into typed, documented Python methods from their JSON Schema, as transformers' `get_json_schema` reads them. `trl.py` (`trl` extra): `AgentEnv(url)` over a server `openenv/` makes, with `dataset` (a row per task) and `factory` (TRL's `environment_factory`: a generated class per toolset whose methods are the tools, a background `reset` and an owned `get_reward`); `AgentEnv.local(bundle)` serves the bundle in process. `nemo_gym/` (`nemo-gym` extra): `python -m agent_env.training.nemo_gym SOURCE ROOT` writes a bundle's NeMo Gym resources server into a Gym root, `NEMO_GYM_EXTRA_ROOTS`'s or a Gym checkout's (`app.py`; a `pyproject.toml`, since uv applies the nearest one's `[tool.uv]` and a checkout's `exclude-dependencies` would drop `cryptography`; a config with `simple_agent` and the `legacy_agent` environment server, and `data/.jsonl` rows with each task's tools); `server.AgentEnvResourcesServer` is that server, run in the venv Gym builds: a row's seed starts its episode, a catch-all route calls its tools, and `verify` ends the turns left open with the model's last reply and returns the reward, masking a rollout the environment failed; with `reward_components` it also returns each score by step id, their sum the reward, for NeMo RL's GDPO. | | `runner/` | The `[runner]` seam: `Runner.submit()` returns a `RunHandle` (`run_id`, `instance_id`) before the run starts; `LocalRunner` is built in. `runner/store.py` is the run index every runner writes and the explorer reads. | | `bundle/` | A bundle is a folder of entities (`envs/`, `agents/`, `artifacts/`, `skills/`, `tasks/.json`, `evals/.toml`) that runs without a registry: `agent-env run` plans it, writes it into the `@local` namespace (reusing each version whose inputs haven't changed) and runs its evals or tasks; `agent-env bundle init` writes a stored task or eval as one, with every env, agent and artifact it uses in its own folder (each image as its build context, pruned to what its Dockerfile reads and pinned to the Python and npm versions of the stored image) so it runs with no store; `agent-env bundle register` writes a folder into the configured stores under registry ids (``), each task and eval naming the versions it reads and each image it builds pushed, through a ledger in the target store so registering again writes only what changed. | | `eval/` | `Eval` (`eval`), a versioned list of task references, and its store. | @@ -325,7 +326,8 @@ itself, `pyproject.toml`, `uv.lock`, the `Makefile` or the CI that runs the tier skips; a `changes` job decides, and a skipped `installer` counts as passed. `.github/workflows/trl.yml` runs `tst/trl` against TRL 1.16 (1.15 can't train on CPU) and the latest, on pull requests that touch `agent_env/training`, `agent_env/openenv` or the tier, weekly, and on demand; it allows no skips -and isn't a required check. +and isn't a required check. `.github/workflows/nemo-gym.yml` runs `tst/nemo_gym` on Python 3.13 with the `nemo-gym` +extra from `uv.lock` and with the latest nemo-gym, on the same triggers; it allows no skips and isn't a required check. `.github/workflows/plugin-api.yml` runs the `plugin-api` job on every pull request, title edits included, and on `main`: `.github/scripts/check_plugin_api.py` compares the plugin surface (its `BASES` and `USED`) between `HEAD^1` and `HEAD` with griffe, pinned in the `dev` extra, and fails on a break the diff --git a/Makefile b/Makefile index b767155b8..b01b3a0cd 100644 --- a/Makefile +++ b/Makefile @@ -1,4 +1,4 @@ -.PHONY: help install lint unit-test int-test int-test-fast int-test-slow installer-test trl-test clean-install-test test clean +.PHONY: help install lint unit-test int-test int-test-fast int-test-slow installer-test trl-test nemo-gym-test clean-install-test test clean VENV := .venv VENV_BIN := $(abspath $(VENV))/bin @@ -69,6 +69,11 @@ installer-test: ## Run plugin add/remove through the real pip, uv and pipx, and trl-test: ## Run one GRPOTrainer step on CPU through the TRL helper (needs trl and CPU torch, and the Hub) $(PYTHON) -m pytest tst/trl --timeout=900 $(PYTEST_ARGS) +# The NeMo Gym tier plays the bundle's resources server in-process. nemo-gym needs Python 3.13.14 or later and isn't in +# the dev extra: sync it on that Python first (uv sync --extra dev --extra nemo-gym), as .github/workflows/nemo-gym.yml does. +nemo-gym-test: ## Play rollouts through NeMo Gym's resources server for a bundle (needs nemo-gym, on Python 3.13.14+) + $(PYTHON) -m pytest tst/nemo_gym --timeout=900 $(PYTEST_ARGS) + # The clean-install gate CI runs, on the same Python. The script gives every step an allowlisted # environment, so nothing in this shell reaches the install it checks. A failed run keeps its folder. clean-install-test: ## Build both distributions, install them clean from public PyPI and run hello twice (needs python3.11, uv, git) diff --git a/pyproject.toml b/pyproject.toml index b649e046b..280decbf6 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -61,6 +61,12 @@ trl = [ "datasets>=3", "transformers>=5.2", # renders the tools as TRL shows them to a model; 5.2 is what TRL's environment_factory needs ] +# agent_env.training.nemo_gym: a bundle served to NeMo Gym as a resources server. rc0 is the version NeMo RL's Gym +# checkout reports; Gym needs Python 3.13.14 or later. +nemo-gym = [ + "agentenv-framework[openenv]", + "nemo-gym>=0.7.0rc0; python_full_version >= '3.13.14'", +] # The AWS store backends (S3, Secrets Manager, DynamoDB, ECR), selected by impl pointer in config.toml. aws = [ "boto3>=1.35.0", diff --git a/src/agent_env/training/__init__.py b/src/agent_env/training/__init__.py index 403faa0fd..dd3f29b1c 100644 --- a/src/agent_env/training/__init__.py +++ b/src/agent_env/training/__init__.py @@ -1,2 +1,3 @@ """Training on AgentEnv tasks with other projects' trainers, one module per trainer, each behind an extra of its own: -``agent_env.training.trl`` for TRL.""" +``agent_env.training.trl`` for TRL, and ``agent_env.training.nemo_gym`` for NeMo Gym and the trainers that take its +environments, NeMo RL among them.""" diff --git a/src/agent_env/training/_openenv.py b/src/agent_env/training/_openenv.py new file mode 100644 index 000000000..0b6a435a5 --- /dev/null +++ b/src/agent_env/training/_openenv.py @@ -0,0 +1,389 @@ +"""What the trainer helpers share: a session on an OpenEnv server serving a bundle (``agent_env.openenv.build_app``, or +the package ``openenv import`` writes) that plays one episode of a task at a time, the server's tasks as its Task API +describes them, and a server run on a thread of this process.""" + +from __future__ import annotations + +import asyncio +import contextlib +import json +import logging +import re +import threading +import time +import uuid +from collections.abc import Mapping +from dataclasses import dataclass, field +from typing import Any, ClassVar + +import httpx +import uvicorn +from openenv.core.generic_client import GenericEnvClient + +from agent_env.openenv.environment import END_TURN as END_TURN_TOOL +from agent_env.openenv.environment import TIMEOUT_METADATA, Toolset +from agent_env.task.teardown import TERMINATE_TIMEOUT_SECONDS + +FAILED = "The environment failed to answer, so this episode won't be scored." +ENDED = "The episode has ended." +END_TURN = END_TURN_TOOL.name +CONNECT_SECONDS = 60.0 +CLOSE_SECONDS = 300.0 +#: How much longer than a call's deadline the client waits for the server to end the call, before dropping the session. +GRACE_SECONDS = 30.0 +#: How long a server run in this process is given to stop: its episodes' teardowns run at once, and each saves the +#: agents' changelogs, ends open recordings and terminates the sandboxes, every part within +#: ``TERMINATE_TIMEOUT_SECONDS``. +STOP_SECONDS = 3 * TERMINATE_TIMEOUT_SECONDS + 60.0 +#: How long, and how far apart in seconds, a session tries to open while the server is at its limit, which it stays at +#: until it has seen a closed session go. +REOPEN_PATIENCE, REOPEN_SECONDS = 4.0, 1.0 + +_CAPACITY = re.compile(r"Server at capacity: \d+/(\d+)") + +logger = logging.getLogger(__name__) +_waited: set[str] = set() + + +@dataclass(frozen=True) +class NamedToolset: + name: str + first: tuple[str, int, int] # the split, index and turn count of its first task + + +@dataclass(frozen=True) +class Shared: + """What a session needs of its server: where it is, the tools the model is shown, which an episode's first turn + must offer no more than, the deadlines, and how long to wait for room on the server. The key makes it equal to its + pickled copies only.""" + + url: str + offered: frozenset[str] + tool_timeout: float + reset_timeout: float + patience: float = REOPEN_PATIENCE + key: str = field(default_factory=lambda: uuid.uuid4().hex) + + +class Failed(Exception): + pass + + +class AtCapacity(RuntimeError): + def __init__(self, url: str, limit: str): + super().__init__(f"the server at {url} is at its limit of {limit} sessions at once, and the trainer holds one " + "per rollout it generates at once: serve the bundle with MAX_CONCURRENT_ENVS (or " + "max_concurrent_envs=) at least that many, or generate fewer rollouts at once") + self.limit = limit + + +class Misgrouped(Failed): + """An episode offering a tool the model isn't shown: a toolset that misses what tells tasks apart, which no rollout + fixes.""" + + +@dataclass +class Rollout: + started: asyncio.Task[None] = field(init=False) + system: str | None = None + done: bool = False + reward: float | None = None + scores: dict[str, float] | None = None + failure: str | None = None + misgrouped: bool = False + + +class Session: + """One session on the server, playing one episode at a time: ``_start`` starts the row's episode and returns before + it is deployed, ``_step`` calls a tool once it is, and ``_finish`` ends the turns left open until it is scored. + Every call on the session waits its turn, as a trainer can call two tools of a completion at once.""" + + _shared: Shared + #: What ``_shared.offered`` is, for the error an episode offering other tools raises. + offered_by: ClassVar[str] + #: Whether the session opens at its first ``_start``, raising when the server refuses it, rather than as the + #: episode starts, which leaves the rollout unscored. + opens_at_start: ClassVar[bool] = False + + def __init__(self) -> None: + self._client: GenericEnvClient | None = None + self._opened = False + self._rollout: Rollout | None = None + self._lock = asyncio.Lock() + + async def _start(self, split: str, index: int, expected: str | None) -> None: + """Starts the row's episode in the background, ending the one under way, and returns before it is deployed.""" + async with self._lock: + if (rollout := self._rollout) is not None: + rollout.started.cancel() + await asyncio.wait([rollout.started]) + self._rollout = None + if self.opens_at_start and not self._opened: + self._client, self._opened = await opened(self._shared.url, self._shared.reset_timeout), True + rollout = Rollout() + rollout.started = asyncio.ensure_future(self._begin(rollout, split, index, expected)) + self._rollout = rollout + + async def _begin(self, rollout: Rollout, split: str, index: int, expected: str | None) -> None: + if self._client is None: + self._client = await reopened(self._shared.url, self._shared.reset_timeout, dropped=self._opened, + patience=self._shared.patience) + self._opened = True + reset = await self._client.reset(split=split, index=index, timeout_s=self._shared.reset_timeout) + if reset.done: + raise Failed(error_of(reset.observation)) + metadata = reset.observation.get("metadata") or {} + rollout.system, played = metadata.get("system_prompt") or None, (metadata.get("task") or {}).get("id") + if expected is not None and played != expected: + raise Failed(f"the episode plays task {played!r}, not the row's {expected!r}") + listed = await list_tools(self._client) + if listed.done: + raise Failed(error_of(listed.observation)) + if not (offered := frozenset(tool["name"] for tool in listed.observation["tools"])) <= self._shared.offered: + raise Misgrouped(f"task {played!r} offers the tools {sorted(offered)}, not the " + f"{sorted(self._shared.offered)} {self.offered_by}") + + async def _step(self, name: str, arguments: dict[str, Any]) -> str: + async with self._lock: + rollout = self._rollout + if rollout is None or rollout.failure is not None: + return FAILED + if rollout.done: + return ENDED + try: + await rollout.started + deadline = self._shared.reset_timeout if name == END_TURN else self._shared.tool_timeout + result = await asyncio.wait_for(call_tool(self._client, name, arguments, deadline), + deadline + GRACE_SECONDS) + except Failed as e: + rollout.misgrouped = isinstance(e, Misgrouped) + await self._fail(rollout, str(e)) + return FAILED + except TimeoutError: + await self._fail(rollout, f"{name} didn't answer within {deadline:g}s, and the server didn't end " + f"the call in the {GRACE_SECONDS:g}s after") + return FAILED + except Exception as e: + await self._fail(rollout, f"{name}: {why(e)}") + return FAILED + return self._answer(rollout, name, result) + + async def _finish(self, rollout: Rollout, response: str = "") -> None: + """Ends the turns the model left open, the first with ``response`` and any after it empty, until the episode + is scored; each call on the session has the reset's deadline, as ``end_turn`` does, since the server answers it + once the next turn opens or the verifiers have scored the episode.""" + async with self._lock: + try: + await rollout.started + while not (rollout.done or rollout.failure): + result = await end_turn(self._client, response, self._shared.reset_timeout) + response = "" + if error := result.observation.get("error"): + rollout.failure = f"{END_TURN}: {error.get('message')}" + self._answer(rollout, END_TURN, result) + except Exception as e: + rollout.misgrouped = isinstance(e, Misgrouped) + await self._fail(rollout, str(e) if isinstance(e, Failed) else why(e)) + + def _answer(self, rollout: Rollout, name: str, result: Any) -> str: + """What the model sees of a tool call: the tool's text or error, the next turn's prompt for ``end_turn``, after + its system prompt when that changed, since a trainer can't change the conversation's own; or that the episode + ended, which records its reward or why it has none.""" + observation = result.observation + if error := observation.get("error"): + return error.get("message") or json.dumps(error) + if result.done: + rollout.done = True + if (observation.get("metadata") or {}).get("status") == "error": + rollout.failure = error_of(observation) + return FAILED + rollout.reward, rollout.scores = result.reward, (observation.get("metadata") or {}).get("scores") + return ENDED + answer = observation.get("result") or {} + if name == END_TURN: + prompt, system = answer.get("prompt") or "", answer.get("system_prompt") or None + if system is None or system == rollout.system: + return prompt + rollout.system = system + return f"{system}\n\n{prompt}" + return answer["data"] if isinstance(answer.get("data"), str) else json.dumps(answer) + + async def _fail(self, rollout: Rollout, why: str) -> None: + """Records why the rollout won't be scored and drops the session, which may be out of step with the server; the + server ends a dropped session's episode, and the next rollout opens another.""" + rollout.failure = rollout.failure or why + client, self._client = self._client, None + if client is not None: + with contextlib.suppress(Exception): + await client.close() + + async def _close(self) -> None: + rollout, self._rollout = self._rollout, None + if rollout is not None: + rollout.started.cancel() + client, self._client = self._client, None + if client is not None: + with contextlib.suppress(Exception): + await client.close() + + +class Server: + """An app under uvicorn on a thread of its own, its lifespan included, on a free loopback port.""" + + def __init__(self, app: Any): + self._uvicorn = uvicorn.Server(uvicorn.Config(app, host="127.0.0.1", port=0, log_level="warning")) + self._thread = threading.Thread(target=self._uvicorn.run, name="agentenv-openenv-server", daemon=True) + self._thread.start() + while not self._uvicorn.started: + if not self._thread.is_alive(): + raise RuntimeError("the bundle's server didn't start; its log says why") + time.sleep(0.05) + self.url = f"http://127.0.0.1:{self._uvicorn.servers[0].sockets[0].getsockname()[1]}" + + def stop(self, timeout: float = STOP_SECONDS) -> bool: + """Whether the server stopped within ``timeout``, tearing down its episodes.""" + self._uvicorn.should_exit = True + self._thread.join(timeout) + return not self._thread.is_alive() + + +async def opened(url: str, timeout: float) -> GenericEnvClient: + """A session on the server, opened now rather than at the first reset, so a server at capacity refuses it at once; + each message waits ``GRACE_SECONDS`` longer than the ``timeout`` the server ends a call at.""" + client = GenericEnvClient(base_url=url, message_timeout_s=timeout + GRACE_SECONDS) + try: + await client.state() + except Exception as e: + with contextlib.suppress(Exception): + await client.close() + if match := _CAPACITY.search(str(e)): + raise AtCapacity(url, match[1]) from e + raise ConnectionError(f"couldn't open a session on the server at {url}: {why(e)}") from e + return client + + +async def reopened(url: str, timeout: float, *, dropped: bool, patience: float) -> GenericEnvClient: + """A session, tried again every ``REOPEN_SECONDS`` for ``patience`` seconds while the server is at its limit, in + place of a ``dropped`` one or for a rollout's own; raises Failed, which leaves the rollout unscored, when it can't + open one.""" + lead = "its session was dropped, and " if dropped else "" + deadline = time.monotonic() + patience + while True: + try: + return await opened(url, timeout) + except AtCapacity as e: + if time.monotonic() + REOPEN_SECONDS > deadline: + raise Failed(f"{lead}the server stayed at its limit of {e.limit} sessions for " + f"{patience:g}s{' after' if dropped else ''}") from e + if url not in _waited: + _waited.add(url) + logger.warning("the server at %s is at its limit of %s sessions at once, so rollouts wait their turn: " + "serve the bundle with a higher MAX_CONCURRENT_ENVS (or max_concurrent_envs=) to run " + "more at once", url, e.limit) + await asyncio.sleep(REOPEN_SECONDS) + except ConnectionError as e: + raise Failed(f"{lead}{e}") from e + + +async def probe(url: str, toolset: NamedToolset, timeout: float) -> tuple[frozenset[str], tuple[dict[str, Any], ...]]: + """The tools ``toolset``'s first task offers at its first turn, and every tool any of its turns offers, found by + walking it through its turns, ending each but the last empty and listing its tools, then ending the episode + unscored. Each call on the probe's session has the deadline ``timeout``.""" + split, index, turns = toolset.first + client = await opened(url, timeout) + first, tools = None, {} + try: + turn = await client.reset(split=split, index=index, timeout_s=timeout) + for number in range(turns): + if turn.done: + break + listed = await list_tools(client) + if listed.done: + turn = listed + break + first = first or frozenset(tool["name"] for tool in listed.observation["tools"]) + tools |= {tool["name"]: tool for tool in listed.observation["tools"] if tool["name"] not in tools} + if number + 1 < turns: + turn = await end_turn(client, "", timeout) + if error := turn.observation.get("error"): + raise RuntimeError(f"task {index} of split {split!r} refused an empty {END_TURN}: " + f"{error.get('message')}") + finally: + with contextlib.suppress(Exception): + await client.close() + if first is None: + raise RuntimeError(f"task {index} of split {split!r} ended before its tools could be listed: " + f"{error_of(turn.observation)}") + return first, tuple(tools.values()) + + +async def list_tools(client: GenericEnvClient) -> Any: + return await client.step({"type": "list_tools"}) + + +async def call_tool(client: GenericEnvClient, name: str, arguments: dict[str, Any], + deadline: float | None = None) -> Any: + """The call, with its ``deadline`` in seconds for the server to end it at.""" + return await client.step({"type": "call_tool", "tool_name": name, "arguments": arguments, + **({"metadata": {TIMEOUT_METADATA: deadline}} if deadline is not None else {})}) + + +async def end_turn(client: GenericEnvClient, response: str, deadline: float) -> Any: + return await call_tool(client, END_TURN, {"response": response}, deadline) + + +def read_tasks(url: str, *, local: str) -> tuple[str, dict[str, list[dict[str, Any]]]]: + """The server's env name, and each split's tasks as its Task API describes them. ``local`` says how to serve the + bundle in this process instead, for when no server answers.""" + with httpx.Client(base_url=url, timeout=CONNECT_SECONDS) as http: + try: + [name] = http.get("/list_environments").raise_for_status().json() + except httpx.TransportError as e: + raise ConnectionError(f"no OpenEnv server answers at {url}: serve the bundle first (`uv run server` in the " + f"package `openenv import` wrote), or {local}") from e + splits = [split["name"] for split in http.get(f"/{name}/splits").raise_for_status().json()] + tasks = {split: http.post(f"/{name}/tasks", json={"split": split}).raise_for_status().json()["tasks"] + for split in splits} + if not all("toolset" in task and "turns" in task for described in tasks.values() for task in described): + raise ValueError(f"the server at {url} doesn't describe its tasks' toolsets and turns, so it isn't a bundle " + "served by agent_env.openenv.build_app from this version of agentenv-framework or later") + return name, tasks + + +def toolsets(name: str, tasks: dict[str, list[dict[str, Any]]]) -> dict[str, NamedToolset]: + """Each toolset the tasks have, by its key, with the first task that has it, named after the server when it's the + only one and otherwise after its envs, and ``bash`` when its turns offer it.""" + firsts: dict[str, tuple[str, int, int]] = {} + for split, described in tasks.items(): + for task in described: + firsts.setdefault(key(task), (split, task["index"], task["turns"])) + if len(firsts) == 1: + return {each: NamedToolset(name, first) for each, first in firsts.items()} + named: dict[str, NamedToolset] = {} + for each, first in firsts.items(): + toolset: Toolset = json.loads(each) + base = "+".join([*(env.rsplit("/", 1)[-1] for env in toolset["envs"]), *(["bash"] if toolset["bash"] else [])]) + base = base or "agent" + taken = {toolset.name for toolset in named.values()} + name, n = base, 1 + while name in taken: + n += 1 + name = f"{base}-{n}" + named[each] = NamedToolset(name, first) + return named + + +def key(task: Mapping[str, Any]) -> str: + return json.dumps(task["toolset"], sort_keys=True) + + +def messages(system: str | None, prompt: str) -> list[dict[str, str]]: + return [*([{"role": "system", "content": system}] if system else []), {"role": "user", "content": prompt}] + + +def error_of(observation: Mapping[str, Any]) -> str: + return (observation.get("metadata") or {}).get("error") or "the episode ended in an error" + + +def why(error: BaseException) -> str: + return f"{type(error).__name__}: {error}" if str(error) else type(error).__name__ diff --git a/src/agent_env/training/nemo_gym/__init__.py b/src/agent_env/training/nemo_gym/__init__.py new file mode 100644 index 000000000..b179d10f2 --- /dev/null +++ b/src/agent_env/training/nemo_gym/__init__.py @@ -0,0 +1,4 @@ +"""NeMo Gym, and the trainers that take its environments (NeMo RL among them), on a bundle's tasks served as an OpenEnv +env: ``python -m agent_env.training.nemo_gym`` writes the bundle's resources server into a Gym root, with its config and +a JSONL file of rows per split, and ``server.AgentEnvResourcesServer`` is that server, which runs in the venv NeMo Gym +builds for it.""" diff --git a/src/agent_env/training/nemo_gym/__main__.py b/src/agent_env/training/nemo_gym/__main__.py new file mode 100644 index 000000000..26962a850 --- /dev/null +++ b/src/agent_env/training/nemo_gym/__main__.py @@ -0,0 +1,30 @@ +"""``python -m agent_env.training.nemo_gym SOURCE ROOT``: writes NeMo Gym's resources server for a bundle's tasks.""" + +import click + +from agent_env.training.nemo_gym.prepare import write_server + + +@click.command() +@click.argument("source") +@click.argument("root", type=click.Path(file_okay=False)) +@click.option("--name", help="The server's name; the bundle's env name by default.") +@click.option("--sandbox", help="Where the server deploys the bundle's envs, as agent-env run --sandbox takes it.") +@click.option("--reward", help="The step whose score is the reward, for tasks that record several.") +@click.option("--reward-components", is_flag=True, + help="Answer verify with each of a task's scores as the reward's components, for NeMo RL's GDPO; the " + "reward is then their sum.") +@click.option("--max-concurrent-envs", type=int, default=8, show_default=True, + help="The episodes the server runs at once, which should cover a step's rollouts: the rest wait their turn.") +def main(source: str, root: str, name: str | None, sandbox: str | None, reward: str | None, reward_components: bool, + max_concurrent_envs: int) -> None: + """Writes the resources server for SOURCE, a bundle or the URL of an OpenEnv server serving one, into the Gym root + ROOT, with its config and a JSONL file of rows per split. Playing one task of each toolset to find its tools + deploys its envs.""" + server = write_server(source, root, name=name, sandbox=sandbox, reward=reward, reward_components=reward_components, + max_concurrent_envs=max_concurrent_envs) + click.echo(f"wrote {server}") + + +if __name__ == "__main__": + main() diff --git a/src/agent_env/training/nemo_gym/prepare.py b/src/agent_env/training/nemo_gym/prepare.py new file mode 100644 index 000000000..c2a450d44 --- /dev/null +++ b/src/agent_env/training/nemo_gym/prepare.py @@ -0,0 +1,139 @@ +"""Writes NeMo Gym's resources server for a bundle's tasks into a Gym root: the root ``NEMO_GYM_EXTRA_ROOTS`` names, or +a Gym checkout's own, as NeMo RL's is.""" + +from __future__ import annotations + +import asyncio +import json +import re +from importlib.metadata import version +from pathlib import Path +from typing import Any + +import yaml + +from agent_env.openenv import build_app +from agent_env.training._openenv import Server, key, messages, probe, read_tasks, toolsets + +#: The routes a resources server serves itself, which a tool's route can't take. +GYM_ROUTES = frozenset({"seed_session", "verify", "close_session", "aggregate_metrics", "reverify_mode"}) +APP = """from agent_env.training.nemo_gym.server import AgentEnvResourcesServer + +if __name__ == "__main__": + AgentEnvResourcesServer.run_webserver() +""" +#: The server's project. Gym installs it into the server's venv, with nemo-gym from the checkout at ``../..`` when the +#: root is one; it is a project rather than a requirements file because uv applies the ``[tool.uv]`` settings of the +#: nearest ``pyproject.toml``, and a Gym checkout's own exclude packages the framework imports from the venvs of the +#: servers under it. +PYPROJECT = """[project] +name = "{name}-resources-server" +version = "0.0.0" +dependencies = ["nemo-gym", "agentenv-framework[nemo-gym]=={version}"] + +[build-system] +build-backend = "setuptools.build_meta" +requires = ["setuptools>=61"] + +[tool.setuptools] +packages = [] + +[tool.uv.sources] +nemo-gym = {{ path = "../..", editable = true }} +""" + +REWARD_AND_COMPONENTS = ("reward_components makes the reward the sum of the task's scores, as NeMo RL requires, so " + "it takes no reward: weight the scores in GDPO's reward_weights instead") +_ROUTE = re.compile(r"[A-Za-z0-9._~-]+") +_FILE = re.compile(r"[A-Za-z0-9_-][A-Za-z0-9._-]*") + + +def write_server(source: str | Path, root: str | Path, *, name: str | None = None, sandbox: str | None = None, + reward: str | None = None, reward_components: bool = False, max_concurrent_envs: int = 8, + reset_timeout: float = 600.0) -> Path: + """``source``'s tasks as NeMo Gym's resources server ``name``, the bundle's env name by default, under the Gym root + ``root``, returning the server's folder ``resources_servers/``. It holds the server's ``app.py`` and + ``pyproject.toml``; ``configs/.yaml``, which runs the server, ``simple_agent`` to play its rows and the + ``legacy_agent`` environment server NeMo RL dispatches through; and ``data/.jsonl``, a row per task of each + split. + + ``source`` is the URL of an OpenEnv server serving the bundle, which the config names, or a bundle, a folder or an + installed bundle's name, which the resources server serves itself, deploying where ``sandbox`` names, at most + ``max_concurrent_envs`` episodes at once. ``reward_components`` has the server answer verify with each of a task's + scores, for NeMo RL's GDPO, their sum the reward, so it takes no ``reward``. A row's tools are every tool its + task's turns offer, found by playing one task of each toolset to its last turn, unscored, so writing deploys + those.""" + if reward is not None and reward_components: + raise ValueError(REWARD_AND_COMPONENTS) + url = str(source) if str(source).startswith(("http://", "https://")) else None + served = None if url else Server(build_app(source, reward=summed if reward_components else reward, sandbox=sandbox, + max_concurrent_envs=1)) + try: + env_name, tasks = read_tasks(url or served.url, local="name the bundle's folder instead of its server") + if unfit := [split for split in tasks if not _FILE.fullmatch(split)]: + raise ValueError(f"the server's splits {unfit} can't name a data file: a split's name must be letters, " + "digits, '.', '_' and '-', not starting with '.'") + grouped = toolsets(env_name, tasks) + tools = {each: [_function(tool) for tool in asyncio.run(probe(url or served.url, toolset, reset_timeout))[1]] + for each, toolset in grouped.items()} + finally: + if served is not None: + served.stop() + name = name or re.sub(r"\W+", "_", env_name).strip("_").lower() + if url: + where: dict[str, Any] = {"url": url} + else: + folder = Path(source) + where = {"bundle": str(folder.resolve()) if folder.exists() else str(source), + "max_concurrent_envs": max_concurrent_envs, + **({"sandbox": sandbox} if sandbox else {}), **({"reward": reward} if reward else {})} + if reward_components: + where["reward_components"] = True + server = Path(root) / "resources_servers" / name + (server / "configs").mkdir(parents=True, exist_ok=True) + (server / "data").mkdir(exist_ok=True) + (server / "app.py").write_text(APP) + (server / "pyproject.toml").write_text(PYPROJECT.format(name=name.replace("_", "-"), + version=version("agentenv-framework"))) + (server / "configs" / f"{name}.yaml").write_text(yaml.safe_dump(_config(name, env_name, where), sort_keys=False)) + agent = {"type": "responses_api_agents", "name": f"{name}_simple_agent"} + for split, described in tasks.items(): + (server / "data" / f"{split}.jsonl").write_text("".join(json.dumps({ + "responses_create_params": {"input": messages(task["system_prompt"], task["prompt"]), + "tools": tools[key(task)]}, + "agent_ref": agent, "split": split, "index": task["index"], "task_id": task["id"], + }) + "\n" for task in described)) + return server + + +def summed(scores: dict[str, float]) -> float: + """The reward of a task whose scores are its components: their sum, as NeMo RL requires.""" + return sum(scores.values()) + + +def _function(tool: dict[str, Any]) -> dict[str, Any]: + """An MCP tool as a function tool of the Responses API, which simple_agent calls at the route of its name.""" + name = tool["name"] + if name in GYM_ROUTES or not _ROUTE.fullmatch(name): + raise ValueError(f"the env's tool {name!r} can't be a NeMo Gym tool: Gym calls a tool at the route of its name, " + f"so a tool's name must be one path segment other than {', '.join(sorted(GYM_ROUTES))}. " + "Rename the tool in the env") + return {"type": "function", "name": name, "description": tool.get("description") or "", + "parameters": tool.get("input_schema") or {"type": "object", "properties": {}}, "strict": False} + + +def _config(name: str, env_name: str, where: dict[str, Any]) -> dict[str, Any]: + agent = f"{name}_simple_agent" + return { + name: {"resources_servers": {name: { + "entrypoint": "app.py", "domain": "agent", "description": f"{env_name}'s tasks, served by AgentEnv", + **where, + }}}, + agent: {"responses_api_agents": {"simple_agent": { + "entrypoint": "app.py", "resources_server": {"type": "resources_servers", "name": name}, + "model_server": {"type": "responses_api_models", "name": "policy_model"}, + }}}, + f"{name}_environment_server": {"environment_servers": {"legacy_agent": { + "entrypoint": "app.py", "agent_server": {"type": "responses_api_agents", "name": agent}, + }}}, + } diff --git a/src/agent_env/training/nemo_gym/server.py b/src/agent_env/training/nemo_gym/server.py new file mode 100644 index 000000000..a761bf9ce --- /dev/null +++ b/src/agent_env/training/nemo_gym/server.py @@ -0,0 +1,245 @@ +"""NeMo Gym's resources server for a bundle's tasks served as an OpenEnv env (``agent_env.openenv.build_app``, or the +package ``openenv import`` writes). Gym's ``simple_agent`` seeds a session with a row, which starts the row's episode, +calls the episode's tools at their routes, and verifies the session, which ends the turns the model left open, its last +reply ending the first, and answers with the episode's reward; a rollout the environment failed is masked out of +training. It runs in the venv Gym builds for it, with one worker, since a rollout's session lives in the process.""" + +import asyncio +import logging +import time +from collections.abc import AsyncIterator +from contextlib import asynccontextmanager +from typing import Any + +from fastapi import Body, FastAPI, HTTPException, Request +from fastapi.responses import PlainTextResponse +from pydantic import ConfigDict, PrivateAttr, model_validator + +try: + from nemo_gym.base_resources_server import ( + BaseResourcesServerConfig, + BaseSeedSessionRequest, + BaseSeedSessionResponse, + BaseVerifyRequest, + BaseVerifyResponse, + ResourcesCloseSessionRequest, + ResourcesCloseSessionResponse, + SimpleResourcesServer, + ) + from nemo_gym.server_utils import SESSION_ID_KEY + from openenv.core.generic_client import GenericEnvClient # noqa: F401 +except ModuleNotFoundError as exc: + if exc.name not in ("nemo_gym", "openenv"): + raise + raise ImportError("agent_env.training.nemo_gym.server requires pip install 'agentenv-framework[nemo-gym]', on " + "Python 3.13.14 or later as NeMo Gym is") from exc + +from agent_env.openenv import build_app +from agent_env.training._openenv import STOP_SECONDS, Server, Session, Shared +from agent_env.training.nemo_gym.prepare import REWARD_AND_COMPONENTS, summed + +logger = logging.getLogger(__name__) + +#: How often the server looks for idle sessions, in seconds: every ``REAP_SECONDS``, or ``REAP_SHARE`` of +#: ``idle_timeout`` when that is sooner. +REAP_SECONDS, REAP_SHARE = 30.0, 0.25 + + +class AgentEnvResourcesServerConfig(BaseResourcesServerConfig): + """Where the bundle is served: ``url``, an OpenEnv server's, or ``bundle``, a folder or an installed bundle's name, + which this server serves on a loopback port, deploying where ``sandbox`` names, at most ``max_concurrent_envs`` + episodes at once, which should cover a step's rollouts: the rest wait their turn. ``tool_timeout`` is one tool call's deadline in + seconds, and ``reset_timeout`` how long an episode may take to deploy and open its first turn, and each turn to be + ended; the server ends an episode that misses one, and the rollout is masked. ``idle_timeout`` is how long a + session may go without a request before its episode is ended, freeing its slot: Gym never verifies a rollout whose + run failed or was cancelled. ``reward_components`` has verify also answer with each of the task's scores by step id, + as NeMo RL's GDPO takes them, and makes the reward their sum, as NeMo RL requires of a reward with components; it + takes no ``reward``. It runs with one worker, since a rollout's session lives in its process.""" + + url: str | None = None + bundle: str | None = None + sandbox: str | None = None + reward: str | None = None + max_concurrent_envs: int = 8 + tool_timeout: float = 60.0 + reset_timeout: float = 600.0 + idle_timeout: float = 600.0 + reward_components: bool = False + + @model_validator(mode="after") + def _checked(self) -> "AgentEnvResourcesServerConfig": + if (self.url is None) == (self.bundle is None): + raise ValueError("name the bundle's server as url, or the bundle this server serves as bundle; not both") + if self.reward_components and self.reward is not None: + raise ValueError(REWARD_AND_COMPONENTS) + if (self.num_workers or 1) != 1: + raise ValueError("the server runs with one worker, since a rollout's session lives in its process; " + "set num_workers to 1") + return self + + +class AgentEnvSeedSessionRequest(BaseSeedSessionRequest): + """A row: the tools it shows the model, and the task it plays.""" + + model_config = ConfigDict(extra="allow") + + responses_create_params: dict[str, Any] + split: str + index: int + task_id: str | None = None + + +class AgentEnvVerifyRequest(BaseVerifyRequest): + model_config = ConfigDict(extra="allow") + + +class AgentEnvVerifyResponse(BaseVerifyResponse): + model_config = ConfigDict(extra="allow") + + +class AgentEnvResourcesServer(SimpleResourcesServer): + config: AgentEnvResourcesServerConfig + ray_enabled = False + _sessions: dict[str, "_Session"] = PrivateAttr(default_factory=dict) + _served: Server | None = PrivateAttr(default=None) + + def setup_webserver(self) -> FastAPI: + app = super().setup_webserver() + app.post("/{tool}")(self.call_tool) + lifespan = app.router.lifespan_context + + @asynccontextmanager + async def serving(app: FastAPI) -> AsyncIterator[Any]: + if self.config.bundle is not None: + self._served = await asyncio.to_thread(self._serve) + reaping = asyncio.create_task(self._reap()) + try: + async with lifespan(app) as state: + yield state + finally: + reaping.cancel() + await self._shut_down() + + app.router.lifespan_context = serving + return app + + async def seed_session(self, request: Request, body: AgentEnvSeedSessionRequest) -> BaseSeedSessionResponse: + """Starts the row's episode and returns before it is deployed, so the deploy overlaps the model's first turn; + the first tool call or the verify waits for it. A seed on a session that holds an episode ends that one.""" + session_id = request.session[SESSION_ID_KEY] + offered = frozenset(tool["name"] for tool in body.responses_create_params.get("tools") or ()) + session = _Session(Shared(self._url, offered, self.config.tool_timeout, self.config.reset_timeout, + patience=self.config.reset_timeout)) + if (previous := self._sessions.pop(session_id, None)) is not None: + await previous.close() + self._sessions[session_id] = session + await session.start(body.split, body.index, body.task_id) + return BaseSeedSessionResponse() + + async def call_tool(self, tool: str, request: Request, arguments: dict[str, Any] = Body()) -> PlainTextResponse: + """What the model sees of the call: the tool's text or error, or for ``end_turn`` the next turn's prompt.""" + session = self._sessions.get(request.session.get(SESSION_ID_KEY)) + if session is None: + raise HTTPException(status_code=400, detail="This session has no episode: seed it first.") + return PlainTextResponse(await session.call(tool, arguments)) + + async def verify(self, request: Request, body: AgentEnvVerifyRequest) -> AgentEnvVerifyResponse: + """The episode's reward, once the turns the model left open are ended, with its scores as the reward's + components when the config asks for them; a rollout with none, as one the environment failed or that offered + tools its row doesn't show the model has, is masked.""" + session = self._sessions.pop(request.session.get(SESSION_ID_KEY), None) + if session is None: + reward, scores, failure = None, None, "the rollout has no episode: its session wasn't seeded, or was closed" + else: + reward, scores, failure = await session.result(_reply(body.response)) + if failure is not None: + logger.warning("rollout masked: %s", failure) + components = scores if self.config.reward_components and failure is None else None + if components: + reward = sum(components.values()) + return AgentEnvVerifyResponse(**body.model_dump(), reward=reward or 0.0, mask_sample=failure is not None, + failure_reason=failure, **({"reward_components": components} if components else {})) + + async def close_resources_session(self, request: Request, + body: ResourcesCloseSessionRequest) -> ResourcesCloseSessionResponse: + if (session := self._sessions.pop(request.session.get(SESSION_ID_KEY), None)) is not None: + await session.close() + return ResourcesCloseSessionResponse(resources_session_id=body.resources_session_id) + + async def _reap(self) -> None: + """Ends the episode of each session with no request in flight and none for ``idle_timeout`` seconds.""" + while True: + await asyncio.sleep(min(REAP_SECONDS, self.config.idle_timeout * REAP_SHARE)) + now = time.monotonic() + for session_id, session in list(self._sessions.items()): + if session.idle_for(now) <= self.config.idle_timeout or self._sessions.get(session_id) is not session: + continue + del self._sessions[session_id] + logger.warning("ended the episode of a rollout with no request for %gs: Gym stopped its run without " + "verifying it", self.config.idle_timeout) + await session.close() + + @property + def _url(self) -> str: + return self._served.url if self._served is not None else self.config.url + + def _serve(self) -> Server: + reward = summed if self.config.reward_components else self.config.reward + return Server(build_app(self.config.bundle, reward=reward, sandbox=self.config.sandbox, + max_concurrent_envs=self.config.max_concurrent_envs)) + + async def _shut_down(self) -> None: + """Ends the episodes left running, then stops the server this one served the bundle on, which tears down its + episodes.""" + sessions, self._sessions = list(self._sessions.values()), {} + await asyncio.gather(*(session.close() for session in sessions)) + served, self._served = self._served, None + if served is not None and not await asyncio.to_thread(served.stop): + logger.warning("the bundle's server at %s was still tearing down its episodes after %gs; their sandboxes " + "may be left running", served.url, STOP_SECONDS) + + +class _Session(Session): + """A rollout's session, which shows the model the tools its row lists. The server gives it the reset deadline to + wait for room in, since Gym runs every rollout of a step at once and a server at its limit makes the rest take + turns.""" + + offered_by = "the row shows the model" + start = Session._start + close = Session._close + + def __init__(self, shared: Shared): + super().__init__() + self._shared = shared + self._seen = time.monotonic() + + async def call(self, name: str, arguments: dict[str, Any]) -> str: + self._seen = time.monotonic() + try: + return await self._step(name, arguments) + finally: + self._seen = time.monotonic() + + def idle_for(self, now: float) -> float: + """How long the session has gone with no request, in seconds; none while one is in flight.""" + return 0.0 if self._lock.locked() else now - self._seen + + async def result(self, reply: str) -> tuple[float | None, dict[str, float] | None, str | None]: + """The episode's reward and scores, or why it has none, once the turns left open are ended, ``reply`` ending + the first; closes the session.""" + rollout = self._rollout + if rollout is None: + return None, None, "the rollout has no episode" + try: + await self._finish(rollout, reply) + finally: + await self._close() + if rollout.failure is None and rollout.reward is None: + return None, None, "the episode ended without a reward" + return rollout.reward, rollout.scores, rollout.failure + + +def _reply(response: Any) -> str: + """The text of the model's last message, which ends its turn as an agent's reply does.""" + replies = [item for item in response.output if item.type == "message"] + return "".join(part.text for part in replies[-1].content if part.type == "output_text") if replies else "" diff --git a/src/agent_env/training/trl.py b/src/agent_env/training/trl.py index d84747ce5..fd96f4f62 100644 --- a/src/agent_env/training/trl.py +++ b/src/agent_env/training/trl.py @@ -8,27 +8,19 @@ from __future__ import annotations import asyncio -import contextlib import copyreg import json import logging -import re import threading -import time -import uuid import weakref from collections.abc import Callable, Coroutine, Mapping -from dataclasses import dataclass, field from functools import cached_property from pathlib import Path from typing import Any, ClassVar -import httpx -import uvicorn - try: from datasets import Dataset - from openenv.core.generic_client import GenericEnvClient + from openenv.core.generic_client import GenericEnvClient # noqa: F401 from transformers.utils.chat_template_utils import render_jinja_template except ModuleNotFoundError as exc: if exc.name not in ("datasets", "openenv", "transformers"): @@ -36,36 +28,34 @@ raise ImportError("agent_env.training.trl requires pip install 'agentenv-framework[trl]'") from exc from agent_env.openenv import build_app -from agent_env.openenv.environment import END_TURN as END_TURN_TOOL -from agent_env.openenv.environment import TIMEOUT_METADATA, Toolset -from agent_env.task.teardown import TERMINATE_TIMEOUT_SECONDS +from agent_env.training._openenv import ( + CLOSE_SECONDS, + CONNECT_SECONDS, + END_TURN, + GRACE_SECONDS, + STOP_SECONDS, + NamedToolset, + Server, + Session, + Shared, + key, + messages, + probe, + read_tasks, + toolsets, + why, +) from agent_env.training._tools import SchemaTool, tool_method logger = logging.getLogger(__name__) -FAILED = "The environment failed to answer, so this episode won't be scored." -ENDED = "The episode has ended." -END_TURN = END_TURN_TOOL.name -CONNECT_SECONDS = 60.0 -CLOSE_SECONDS = 300.0 -#: How much longer than a call's deadline the client waits for the server to end the call, before dropping the session. -GRACE_SECONDS = 30.0 -#: How long a server ``AgentEnv.local`` started is given to stop, at ``close`` and at exit: its episodes' teardowns run -#: at once, and each saves the agents' changelogs, ends open recordings and terminates the sandboxes, every part within -#: ``TERMINATE_TIMEOUT_SECONDS``. -STOP_SECONDS = 3 * TERMINATE_TIMEOUT_SECONDS + 60.0 #: How long the exit hook waits for the sessions to close. EXIT_SECONDS = 30.0 -#: How often, and how far apart in seconds, an environment tries to open a session in place of a dropped one while the -#: server is at its limit, which it stays at until it has seen the dropped one close. -REOPEN_ATTEMPTS, REOPEN_SECONDS = 5, 1.0 - -_CAPACITY = re.compile(r"Server at capacity: \d+/(\d+)") _loop: asyncio.AbstractEventLoop | None = None _loop_lock = threading.Lock() _environments: weakref.WeakSet[_Environment] = weakref.WeakSet() -_servers: set[_Server] = set() +_servers: set[Server] = set() class AgentEnv: @@ -103,10 +93,10 @@ def __init__(self, url: str, split: str = "all", *, tool_timeout: float = 60.0, self.url = url.rstrip("/") self.split = split self._tool_timeout, self._reset_timeout = tool_timeout, reset_timeout - self._server: _Server | None = None - self._shared: list[_Shared] = [] - self._name, self._tasks = _read_tasks(self.url) - self._toolsets = _toolsets(self._name, self._tasks) + self._server: Server | None = None + self._shared: list[Shared] = [] + self._name, self._tasks = read_tasks(self.url, local="train on AgentEnv.local(bundle)") + self._toolsets = toolsets(self._name, self._tasks) self._split(split) @classmethod @@ -116,11 +106,12 @@ def local(cls, bundle: str | Path | Mapping[str, str | Path], split: str = "all" """``bundle`` served by ``build_app`` in this process on a loopback port, for a trainer on a machine that can deploy its envs. ``max_concurrent_envs`` must cover the rollouts the trainer generates at once. The server stops at ``close``, or when the process exits, ending its episodes.""" - server = _Server(build_app(bundle, reward=reward, sandbox=sandbox, max_concurrent_envs=max_concurrent_envs)) + server = Server(build_app(bundle, reward=reward, sandbox=sandbox, max_concurrent_envs=max_concurrent_envs)) + _servers.add(server) try: env = cls(server.url, split, tool_timeout=tool_timeout, reset_timeout=reset_timeout) except BaseException: - server.stop() + _stop(server) raise env._server = server return env @@ -135,9 +126,9 @@ def dataset_for(self, split: str) -> Dataset: mode. The prompt is the model's to change.""" several = len(self._toolsets) > 1 return Dataset.from_list([{ - "prompt": _messages(task["system_prompt"], task["prompt"]), "split": split, "index": task["index"], + "prompt": messages(task["system_prompt"], task["prompt"]), "split": split, "index": task["index"], "task_id": task["id"], - **({"environment": self._toolsets[_key(task)].name} if several else {}), + **({"environment": self._toolsets[key(task)].name} if several else {}), } for task in self._split(split)]) @cached_property @@ -158,41 +149,16 @@ def close(self) -> None: _on_loop(_gathered(environment._close() for environment in mine), CLOSE_SECONDS) finally: if self._server is not None: - self._server.stop() + _stop(self._server) async def _environments(self) -> list[type[_Environment]]: return [await self._environment(toolset) for toolset in self._toolsets.values()] - async def _environment(self, toolset: _Toolset) -> type[_Environment]: - split, index, turns = toolset.first - client = await _opened(self.url, self._reset_timeout) - first, tools = None, {} - try: - turn = await client.reset(split=split, index=index, timeout_s=self._reset_timeout) - for number in range(turns): - if turn.done: - break - listed = await _list_tools(client) - if listed.done: - turn = listed - break - first = first or frozenset(tool["name"] for tool in listed.observation["tools"]) - tools |= {tool["name"]: tool for tool in listed.observation["tools"] if tool["name"] not in tools} - if number + 1 < turns: - turn = await _end_turn(client, "", self._reset_timeout) - if error := turn.observation.get("error"): - raise RuntimeError(f"task {index} of split {split!r} refused an empty {END_TURN}: " - f"{error.get('message')}") - finally: - with contextlib.suppress(Exception): - await client.close() - if first is None: - raise RuntimeError(f"task {index} of split {split!r} ended before its tools could be listed: " - f"{_error_of(turn.observation)}") - shared = _Shared(url=self.url, offered=first, tool_timeout=self._tool_timeout, - reset_timeout=self._reset_timeout) + async def _environment(self, toolset: NamedToolset) -> type[_Environment]: + first, tools = await probe(self.url, toolset, self._reset_timeout) + shared = Shared(url=self.url, offered=first, tool_timeout=self._tool_timeout, reset_timeout=self._reset_timeout) self._shared.append(shared) - return _environment_class(toolset.name, tuple(tools.values()), shared) + return _environment_class(toolset.name, tools, shared) def _split(self, split: str) -> list[dict[str, Any]]: if split not in self._tasks: @@ -200,66 +166,19 @@ def _split(self, split: str) -> list[dict[str, Any]]: return self._tasks[split] -@dataclass(frozen=True) -class _Toolset: - name: str - first: tuple[str, int, int] # the split, index and turn count of its first task - - -@dataclass(frozen=True) -class _Shared: - """What an environment class's instances share: the server, the tools every episode's first turn must offer, and - the deadlines. The key makes it equal to its pickled copies only, so ``AgentEnv.close`` also closes what a class - rebuilt from one opened.""" - - url: str - offered: frozenset[str] - tool_timeout: float - reset_timeout: float - key: str = field(default_factory=lambda: uuid.uuid4().hex) - - -class _Failed(Exception): - pass - - -class _AtCapacity(RuntimeError): - def __init__(self, url: str, limit: str): - super().__init__(f"the server at {url} is at its limit of {limit} sessions at once, and the trainer holds one " - "per rollout it generates at once: serve the bundle with MAX_CONCURRENT_ENVS (or " - "max_concurrent_envs=) at least that many, or generate fewer rollouts at once") - self.limit = limit - - -class _Misgrouped(_Failed): - """An episode offering other tools than its class has: a toolset that misses what tells tasks apart, which no - rollout fixes.""" - - -@dataclass -class _Rollout: - started: asyncio.Task[None] = field(init=False) - system: str | None = None - done: bool = False - reward: float | None = None - failure: str | None = None - misgrouped: bool = False - - -class _Environment: +class _Environment(Session): """One session on the server, playing one episode at a time. Its public methods other than ``reset`` and ``get_reward`` are the tools, which ``AgentEnv.factory`` binds per toolset, and each but ``end_turn`` is set over with its ``SchemaTool``; every call on the session waits its turn, as AsyncGRPO can call two tools of a completion at once.""" - _shared: ClassVar[_Shared] + _shared: ClassVar[Shared] _tools: ClassVar[tuple[dict[str, Any], ...]] + offered_by = "its toolset's first task does" + opens_at_start = True def __init__(self) -> None: - self._client: GenericEnvClient | None = None - self._opened = False - self._rollout: _Rollout | None = None - self._lock = asyncio.Lock() + super().__init__() for tool in self._tools: if tool["name"] != END_TURN: setattr(self, tool["name"], SchemaTool(tool, getattr(self, tool["name"]))) @@ -270,20 +189,20 @@ def reset(self, *, split: str, index: int, task_id: str | None = None, **_: Any) one at a time: the first tool call or ``get_reward`` waits for it. Raises when the server refuses this environment's first session, as one at capacity does; a later session it refuses, after one was dropped, leaves only that rollout unscored.""" - _on_loop(self._reset(split, index, task_id), CONNECT_SECONDS + CLOSE_SECONDS) + _on_loop(self._start(split, index, task_id), CONNECT_SECONDS + CLOSE_SECONDS) def get_reward(self) -> float | None: - """The episode's reward, or ``None`` when it ended in an error. Raises when the episode offered other tools - than this class has, which no rollout fixes.""" + """The episode's reward, or ``None`` when it ended in an error. Raises when the episode's first turn offered a + tool its toolset's first task doesn't, which no rollout fixes.""" rollout, self._rollout = self._rollout, None if rollout is None: return None try: _on_loop(self._finish(rollout), None) except Exception as e: - rollout.failure = rollout.failure or _why(e) + rollout.failure = rollout.failure or why(e) if rollout.misgrouped: - raise RuntimeError(f"{rollout.failure}. The tasks of one toolset must offer the same tools, since TRL shows " + raise RuntimeError(f"{rollout.failure}. A task must offer no tool its toolset's first task doesn't, since TRL shows " "the model a class's: their toolset misses what tells them apart") if rollout.failure is not None: logger.warning("rollout left unscored: %s", rollout.failure) @@ -297,124 +216,13 @@ def _call(self, name: str, arguments: dict[str, Any]) -> str: return _on_loop(self._step(name, arguments), shared.reset_timeout + max(shared.reset_timeout, shared.tool_timeout) + 2 * GRACE_SECONDS + CLOSE_SECONDS) - async def _reset(self, split: str, index: int, expected: str | None) -> None: - async with self._lock: - if (rollout := self._rollout) is not None: - rollout.started.cancel() - await asyncio.wait([rollout.started]) - self._rollout = None - if not self._opened: - self._client, self._opened = await _opened(self._shared.url, self._shared.reset_timeout), True - rollout = _Rollout() - rollout.started = asyncio.ensure_future(self._begin(rollout, split, index, expected)) - self._rollout = rollout - - async def _begin(self, rollout: _Rollout, split: str, index: int, expected: str | None) -> None: - if self._client is None: - self._client = await _reopened(self._shared.url, self._shared.reset_timeout) - reset = await self._client.reset(split=split, index=index, timeout_s=self._shared.reset_timeout) - if reset.done: - raise _Failed(_error_of(reset.observation)) - metadata = reset.observation.get("metadata") or {} - rollout.system, played = metadata.get("system_prompt") or None, (metadata.get("task") or {}).get("id") - if expected is not None and played != expected: - raise _Failed(f"the episode plays task {played!r}, not the row's {expected!r}") - listed = await _list_tools(self._client) - if listed.done: - raise _Failed(_error_of(listed.observation)) - if (offered := {tool["name"] for tool in listed.observation["tools"]}) != self._shared.offered: - raise _Misgrouped(f"task {played!r} offers the tools {sorted(offered)}, not the " - f"{sorted(self._shared.offered)} its toolset's first task does") - - async def _step(self, name: str, arguments: dict[str, Any]) -> str: - async with self._lock: - rollout = self._rollout - if rollout is None or rollout.failure is not None: - return FAILED - if rollout.done: - return ENDED - try: - await rollout.started - deadline = self._shared.reset_timeout if name == END_TURN else self._shared.tool_timeout - result = await asyncio.wait_for(_call_tool(self._client, name, arguments, deadline), - deadline + GRACE_SECONDS) - except _Failed as e: - rollout.misgrouped = isinstance(e, _Misgrouped) - await self._fail(rollout, str(e)) - return FAILED - except TimeoutError: - await self._fail(rollout, f"{name} didn't answer within {deadline:g}s, and the server didn't end " - f"the call in the {GRACE_SECONDS:g}s after") - return FAILED - except Exception as e: - await self._fail(rollout, f"{name}: {_why(e)}") - return FAILED - return self._answer(rollout, name, result) - - async def _finish(self, rollout: _Rollout) -> None: - """Ends the turns the model left open with an empty reply, until the episode is scored; each call on the - session has the reset's deadline, as ``end_turn`` does, since the server answers it once the next turn opens - or the verifiers have scored the episode.""" - async with self._lock: - try: - await rollout.started - while not (rollout.done or rollout.failure): - result = await _end_turn(self._client, "", self._shared.reset_timeout) - if error := result.observation.get("error"): - rollout.failure = f"{END_TURN}: {error.get('message')}" - self._answer(rollout, END_TURN, result) - except Exception as e: - rollout.misgrouped = isinstance(e, _Misgrouped) - await self._fail(rollout, str(e) if isinstance(e, _Failed) else _why(e)) - - def _answer(self, rollout: _Rollout, name: str, result: Any) -> str: - """What the model sees of a tool call: the tool's text or error, the next turn's prompt for ``end_turn``, after - its system prompt when that changed, since TRL can't change the conversation's own; or that the episode ended, - which records its reward or why it has none.""" - observation = result.observation - if error := observation.get("error"): - return error.get("message") or json.dumps(error) - if result.done: - rollout.done = True - if (observation.get("metadata") or {}).get("status") == "error": - rollout.failure = _error_of(observation) - return FAILED - rollout.reward = result.reward - return ENDED - answer = observation.get("result") or {} - if name == END_TURN: - prompt, system = answer.get("prompt") or "", answer.get("system_prompt") or None - if system is None or system == rollout.system: - return prompt - rollout.system = system - return f"{system}\n\n{prompt}" - return answer["data"] if isinstance(answer.get("data"), str) else json.dumps(answer) - - async def _fail(self, rollout: _Rollout, why: str) -> None: - """Records why the rollout won't be scored and drops the session, which may be out of step with the server; the - server ends a dropped session's episode, and the next rollout opens another.""" - rollout.failure = rollout.failure or why - client, self._client = self._client, None - if client is not None: - with contextlib.suppress(Exception): - await client.close() - - async def _close(self) -> None: - rollout, self._rollout = self._rollout, None - if rollout is not None: - rollout.started.cancel() - client, self._client = self._client, None - if client is not None: - with contextlib.suppress(Exception): - await client.close() - class _EnvironmentClass(type): """The type of ``AgentEnv.factory``'s classes, which pickle as the toolset and server they're built from, since AsyncGRPO builds its environments in a process of its own.""" -def _environment_class(name: str, tools: tuple[dict[str, Any], ...], shared: _Shared) -> type[_Environment]: +def _environment_class(name: str, tools: tuple[dict[str, Any], ...], shared: Shared) -> type[_Environment]: methods = {tool["name"]: tool_method(tool) for tool in tools} for method in methods.values(): method.__qualname__ = f"{name}.{method.__name__}" @@ -442,29 +250,6 @@ class does, so it keeps what it overrides.""" copyreg.pickle(_EnvironmentClass, _reduce_environment_class) -class _Server: - """An app under uvicorn on a thread of its own, its lifespan included, on a free loopback port.""" - - def __init__(self, app: Any): - self._uvicorn = uvicorn.Server(uvicorn.Config(app, host="127.0.0.1", port=0, log_level="warning")) - self._thread = threading.Thread(target=self._uvicorn.run, name="agentenv-openenv-server", daemon=True) - self._thread.start() - while not self._uvicorn.started: - if not self._thread.is_alive(): - raise RuntimeError("the bundle's server didn't start; its log says why") - time.sleep(0.05) - self.url = f"http://127.0.0.1:{self._uvicorn.servers[0].sockets[0].getsockname()[1]}" - _servers.add(self) - - def stop(self, timeout: float = STOP_SECONDS) -> None: - _servers.discard(self) - self._uvicorn.should_exit = True - self._thread.join(timeout) - if self._thread.is_alive(): - logger.warning("the bundle's server at %s was still tearing down its episodes after %gs; their sandboxes " - "may be left running", self.url, timeout) - - def _episode_loop() -> asyncio.AbstractEventLoop: global _loop with _loop_lock: @@ -495,113 +280,21 @@ def _close_all() -> None: try: _on_loop(_gathered(environment._close() for environment in list(_environments)), EXIT_SECONDS) except Exception as e: - logger.warning("couldn't end the episodes left running: %s", _why(e)) + logger.warning("couldn't end the episodes left running: %s", why(e)) for server in list(_servers): - server.stop() + _stop(server) -threading._register_atexit(_close_all) +def _stop(server: Server) -> None: + _servers.discard(server) + if not server.stop(): + logger.warning("the bundle's server at %s was still tearing down its episodes after %gs; their sandboxes " + "may be left running", server.url, STOP_SECONDS) -async def _opened(url: str, timeout: float) -> GenericEnvClient: - """A session on the server, opened now rather than at the first reset, so a server at capacity refuses it while - the trainer sets up; each message waits ``GRACE_SECONDS`` longer than the ``timeout`` the server ends a call at.""" - client = GenericEnvClient(base_url=url, message_timeout_s=timeout + GRACE_SECONDS) - try: - await client.state() - except Exception as e: - with contextlib.suppress(Exception): - await client.close() - if match := _CAPACITY.search(str(e)): - raise _AtCapacity(url, match[1]) from e - raise ConnectionError(f"couldn't open a session on the server at {url}: {_why(e)}") from e - return client - - -async def _reopened(url: str, timeout: float) -> GenericEnvClient: - """A session in place of a dropped one, tried again while the server is at its limit; raises _Failed, which leaves - the rollout unscored, when it can't open one.""" - for attempt in range(REOPEN_ATTEMPTS): - try: - return await _opened(url, timeout) - except _AtCapacity as e: - if attempt + 1 == REOPEN_ATTEMPTS: - raise _Failed(f"its session was dropped, and the server stayed at its limit of {e.limit} sessions for " - f"{(REOPEN_ATTEMPTS - 1) * REOPEN_SECONDS:g}s after") from e - await asyncio.sleep(REOPEN_SECONDS) - except ConnectionError as e: - raise _Failed(f"its session was dropped, and {e}") from e - - -async def _list_tools(client: GenericEnvClient) -> Any: - return await client.step({"type": "list_tools"}) - - -async def _call_tool(client: GenericEnvClient, name: str, arguments: dict[str, Any], - deadline: float | None = None) -> Any: - """The call, with its ``deadline`` in seconds for the server to end it at.""" - return await client.step({"type": "call_tool", "tool_name": name, "arguments": arguments, - **({"metadata": {TIMEOUT_METADATA: deadline}} if deadline is not None else {})}) - - -async def _end_turn(client: GenericEnvClient, response: str, deadline: float) -> Any: - return await _call_tool(client, END_TURN, {"response": response}, deadline) +threading._register_atexit(_close_all) -def _read_tasks(url: str) -> tuple[str, dict[str, list[dict[str, Any]]]]: - """The server's env name, and each split's tasks as its Task API describes them.""" - with httpx.Client(base_url=url, timeout=CONNECT_SECONDS) as http: - try: - [name] = http.get("/list_environments").raise_for_status().json() - except httpx.TransportError as e: - raise ConnectionError(f"no OpenEnv server answers at {url}: serve the bundle first (`uv run server` in the " - "package `openenv import` wrote), or train on AgentEnv.local(bundle)") from e - splits = [split["name"] for split in http.get(f"/{name}/splits").raise_for_status().json()] - tasks = {split: http.post(f"/{name}/tasks", json={"split": split}).raise_for_status().json()["tasks"] - for split in splits} - if not all("toolset" in task and "turns" in task for described in tasks.values() for task in described): - raise ValueError(f"the server at {url} doesn't describe its tasks' toolsets and turns, so it isn't a bundle " - "served by agent_env.openenv.build_app from this version of agentenv-framework or later") - return name, tasks - - -def _toolsets(name: str, tasks: dict[str, list[dict[str, Any]]]) -> dict[str, _Toolset]: - """Each toolset the tasks have, with the first task that has it, named after the server when it's the only one - and otherwise after its envs, and ``bash`` when its turns offer it.""" - firsts: dict[str, tuple[str, int, int]] = {} - for split, described in tasks.items(): - for task in described: - firsts.setdefault(_key(task), (split, task["index"], task["turns"])) - if len(firsts) == 1: - return {key: _Toolset(name, first) for key, first in firsts.items()} - named: dict[str, _Toolset] = {} - for key, first in firsts.items(): - toolset: Toolset = json.loads(key) - base = "+".join([*(env.rsplit("/", 1)[-1] for env in toolset["envs"]), *(["bash"] if toolset["bash"] else [])]) - base = base or "agent" - taken = {toolset.name for toolset in named.values()} - name, n = base, 1 - while name in taken: - n += 1 - name = f"{base}-{n}" - named[key] = _Toolset(name, first) - return named - - -def _key(task: Mapping[str, Any]) -> str: - return json.dumps(task["toolset"], sort_keys=True) - - -def _messages(system: str | None, prompt: str) -> list[dict[str, str]]: - return [*([{"role": "system", "content": system}] if system else []), {"role": "user", "content": prompt}] - - -def _error_of(observation: Mapping[str, Any]) -> str: - return (observation.get("metadata") or {}).get("error") or "the episode ended in an error" - - -def _why(error: BaseException) -> str: - return f"{type(error).__name__}: {error}" if str(error) else type(error).__name__ __all__ = ["AgentEnv"] diff --git a/tst/integration/training/trl_test.py b/tst/integration/training/trl_test.py index ee42bdca8..f0fbc104a 100644 --- a/tst/integration/training/trl_test.py +++ b/tst/integration/training/trl_test.py @@ -11,7 +11,8 @@ import pytest from agent_env.artifact import FileArtifact -from agent_env.training.trl import ENDED, AgentEnv +from agent_env.training._openenv import ENDED +from agent_env.training.trl import AgentEnv from tst.integration.openenv.build_app_test import _left pytestmark = [pytest.mark.integration, pytest.mark.int_test_slow] diff --git a/tst/nemo_gym/__init__.py b/tst/nemo_gym/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/tst/nemo_gym/conftest.py b/tst/nemo_gym/conftest.py new file mode 100644 index 000000000..71c7622d9 --- /dev/null +++ b/tst/nemo_gym/conftest.py @@ -0,0 +1,7 @@ +"""The unit tier's bundle served on loopback over the Episode API's fake steps, which these tests play through NeMo +Gym's resources server.""" + +from tst.unit.conftest import local_stores # noqa: F401 +from tst.unit.openenv.environment_test import tools # noqa: F401 +from tst.unit.task.episode.run_test import teardowns # noqa: F401 +from tst.unit.training._support import serve # noqa: F401 diff --git a/tst/nemo_gym/server_test.py b/tst/nemo_gym/server_test.py new file mode 100644 index 000000000..097098a59 --- /dev/null +++ b/tst/nemo_gym/server_test.py @@ -0,0 +1,209 @@ +"""``AgentEnvResourcesServer`` driven as NeMo Gym's ``simple_agent`` drives it, through a client that keeps the session +cookie Gym keeps per rollout, over the bundle the unit tier serves on loopback: a row's seed starts its task's episode, +the tool routes answer as text, verify ends the turns left open and scores the episode or masks the rollout, a rollout +waits its turn at the server's limit, a closed or idle session ends its episode, the server takes one worker, and a +bundle named in the config is served for the server's lifetime. CI runs it on the nemo-gym ``uv.lock`` pins and on the +latest nemo-gym.""" + +import asyncio +import json +import logging +import time +from unittest.mock import MagicMock + +import httpx +import pydantic +import pytest +from fastapi.testclient import TestClient + +from tst.unit.bundle._support import layout +from tst.unit.openenv.environment_test import AGAIN +from tst.unit.task.episode.run_test import ALICE, ITEMS, REPLIES, TURN +from tst.unit.training.nemo_gym_test import ADD_ITEM, FUNCTION_END_TURN, PLAYED, STYLE +from tst.util.capabilities import NEMO_GYM, missing_capability_reason + +server = pytest.importorskip("agent_env.training.nemo_gym.server", reason=missing_capability_reason(NEMO_GYM), + exc_type=ImportError) +server_utils = pytest.importorskip("nemo_gym.server_utils", reason=missing_capability_reason(NEMO_GYM)) + + +def test_a_rows_seed_plays_its_task_and_verify_ends_its_turn_with_the_last_reply_and_scores_it(serve, teardowns): + server = serve({"a": PLAYED}) + + with TestClient(_app(url=server.url)) as client: + assert client.post("/seed_session", json=_row()).json() == {} + assert client.post("/add_item", json={"item": "crate"}).text == "add_item {'item': 'crate'}" + verified = _verify(client, _row(), "Added a crate.") + client.post("/seed_session", json=_row()) + unanswered = _verify(client, _row(), None) + server.stop() + + assert (verified["reward"], verified["mask_sample"], verified["failure_reason"], verified["task_id"]) == ( + 1.0, False, None, "a") + assert "reward_components" not in verified + assert (unanswered["reward"], unanswered["mask_sample"]) == (0.0, False) + assert len(teardowns.finished) == 2 + + +def test_end_turn_answers_with_the_next_turns_prompt_and_a_turn_left_open_ends_empty(serve): + server = serve({"a": [ITEMS, ALICE, TURN, AGAIN, REPLIES]}) + + with TestClient(_app(url=server.url)) as client: + client.post("/seed_session", json=_row()) + assert client.post("/end_turn", json={"response": "Added a crate."}).text == "Add another." + played = _verify(client, _row(), "Added another.") + client.post("/seed_session", json=_row()) + stopped = _verify(client, _row(), "Added a crate.") + + assert (played["reward"], stopped["reward"], stopped["mask_sample"]) == (1.0, 0.0, False) + + +@pytest.mark.parametrize(("tasks", "row", "why"), [ + ({"a": [{**ITEMS, "fail": True}, ALICE, TURN, REPLIES]}, {}, "the env didn't come up"), + ({"a": PLAYED}, {"task_id": "b"}, "the episode plays task 'a', not the row's 'b'"), + ({"a": PLAYED}, {"tools": [FUNCTION_END_TURN]}, + "task 'a' offers the tools ['add_item', 'end_turn'], not the ['end_turn'] the row shows the model"), +]) +def test_a_rollout_the_environment_fails_or_that_isnt_its_rows_is_masked(serve, tasks, row, why): + server = serve(tasks) + + with TestClient(_app(url=server.url)) as client: + client.post("/seed_session", json=_row(**row)) + answer = client.post("/add_item", json={"item": "crate"}).text + verified = _verify(client, _row(**row), "Added a crate.") + + assert answer == "The environment failed to answer, so this episode won't be scored." + assert (verified["reward"], verified["mask_sample"]) == (0.0, True) + assert why in verified["failure_reason"] + + +def test_reward_components_answer_each_score_by_step_id_and_make_the_reward_their_sum(serve): + server = serve({"a": [*PLAYED, STYLE]}) + + with TestClient(_app(url=server.url, reward_components=True)) as client: + client.post("/seed_session", json=_row()) + verified = _verify(client, _row(), "Added a crate.") + client.post("/seed_session", json=_row(task_id="b")) + masked = _verify(client, _row(task_id="b"), "Added a crate.") + + assert (verified["reward"], verified["reward_components"]) == (2.0, {"replies": 1.0, "style": 1.0}) + assert (masked["reward"], masked["mask_sample"], "reward_components" in masked) == (0.0, True, False) + + +def test_a_closed_session_ends_its_episode_and_a_session_with_none_answers_so(serve, teardowns): + server = serve({"a": PLAYED}) + + with TestClient(_app(url=server.url)) as client: + assert client.post("/add_item", json={"item": "crate"}).status_code == 400 + client.post("/seed_session", json=_row()) + client.post("/add_item", json={"item": "crate"}) + client.post("/close_session", json={"resources_session_id": "a", "episode_id": _EPISODE}) + verified = _verify(client, _row(), "Added a crate.") + server.stop() + + assert (verified["mask_sample"], verified["failure_reason"]) == ( + True, "the rollout has no episode: its session wasn't seeded, or was closed") + assert len(teardowns.finished) == 1 + + +@pytest.mark.asyncio +async def test_a_rollout_waits_for_room_while_the_server_is_at_its_limit_saying_so_once(serve, teardowns, caplog): + server = serve({"a": PLAYED}, max_concurrent_envs=1) + app = _app(url=server.url) + caplog.set_level(logging.WARNING, logger="agent_env.training._openenv") + + async with _client(app) as first, _client(app) as second: + await first.post("/seed_session", json=_row()) + await second.post("/seed_session", json=_row()) + assert (await first.post("/add_item", json={"item": "crate"})).text == "add_item {'item': 'crate'}" + waiting = asyncio.ensure_future(second.post("/add_item", json={"item": "crate"})) + await asyncio.sleep(2) + assert not waiting.done() + first_verified = (await first.post("/verify", json=_verified(_row(), "Added a crate."))).json() + assert (await waiting).text == "add_item {'item': 'crate'}" + second_verified = (await second.post("/verify", json=_verified(_row(), "Added a crate."))).json() + server.stop() + + assert [(each["reward"], each["mask_sample"]) for each in (first_verified, second_verified)] == [(1.0, False)] * 2 + assert len(teardowns.finished) == 2 + assert [record.getMessage() for record in caplog.records if record.name == "agent_env.training._openenv"] == [ + f"the server at {server.url} is at its limit of 1 sessions at once, so rollouts wait their turn: serve the " + "bundle with a higher MAX_CONCURRENT_ENVS (or max_concurrent_envs=) to run more at once"] + + +def test_a_rollout_gym_stopped_before_verifying_has_its_episode_ended_once_idle(serve, teardowns, caplog): + server = serve({"a": PLAYED}) + + with TestClient(_app(url=server.url, idle_timeout=1)) as client: + client.post("/seed_session", json=_row()) + time.sleep(2.5) + refused = client.post("/add_item", json={"item": "crate"}) + verified = _verify(client, _row(), "Added a crate.") + server.stop() + + assert (refused.status_code, verified["mask_sample"]) == (400, True) + assert "ended the episode of a rollout with no request for 1s" in caplog.text + assert len(teardowns.finished) == 1 + + +@pytest.mark.parametrize(("config", "why"), [ + ({"num_workers": 2}, "the server runs with one worker"), + ({"reward": "replies", "reward_components": True}, "reward_components makes the reward the sum"), +]) +def test_a_config_with_more_than_one_worker_or_a_reward_beside_its_components_is_refused(config, why): + with pytest.raises(pydantic.ValidationError, match=why): + server.AgentEnvResourcesServerConfig(host="127.0.0.1", port=0, entrypoint="app.py", name="dock", + url="http://127.0.0.1:8000", **config) + + +def test_a_bundle_named_in_the_config_is_served_while_the_server_runs(tmp_path, monkeypatch, teardowns): + monkeypatch.setenv("HOME", str(tmp_path)) + unbound = {key: value for key, value in ALICE.items() if key not in ("env_ids", "role")} + bundle = layout(tmp_path / "dock", {"tasks/a.json": json.dumps([ITEMS, unbound, TURN, REPLIES, STYLE])}) + + row = _row(task_id="@local/~/dock/a") + + with TestClient(_app(bundle=str(bundle), max_concurrent_envs=2, reward_components=True)) as client: + client.post("/seed_session", json=row) + client.post("/add_item", json={"item": "crate"}) + verified = _verify(client, row, "Added a crate.") + client.post("/seed_session", json=row) + client.post("/add_item", json={"item": "crate"}) + + assert (verified["reward"], verified["reward_components"]) == (2.0, {"replies": 1.0, "style": 1.0}) + assert len(teardowns.finished) == 2 + + +_EPISODE = {"rollout_id": "rollout"} + + +def _app(**config): + return server.AgentEnvResourcesServer( + config=server.AgentEnvResourcesServerConfig(host="127.0.0.1", port=0, entrypoint="app.py", name="dock", + **config), + server_client=MagicMock(spec=server_utils.ServerClient), + ).setup_webserver() + + +def _row(task_id="a", tools=(ADD_ITEM, FUNCTION_END_TURN)): + return {"responses_create_params": {"input": [{"role": "user", "content": "Add a crate."}], "tools": list(tools)}, + "split": "all", "index": 0, "task_id": task_id} + + +def _verify(client, row, reply): + return client.post("/verify", json=_verified(row, reply)).json() + + +def _verified(row, reply): + output = [] if reply is None else [{"id": "msg", "type": "message", "role": "assistant", "status": "completed", + "content": [{"type": "output_text", "text": reply, "annotations": []}]}] + response = {"id": "resp", "created_at": 0.0, "model": "policy", "object": "response", "output": output, + "parallel_tool_calls": True, "tool_choice": "auto", "tools": []} + return {**row, "response": response} + + +def _client(app): + """A client of its own cookie jar, as each rollout of Gym's has, on the app without its lifespan, which serves + nothing for a config that names a url.""" + return httpx.AsyncClient(transport=httpx.ASGITransport(app=app), base_url="http://gym") + diff --git a/tst/trl/conftest.py b/tst/trl/conftest.py index 38e814d11..b8858b09f 100644 --- a/tst/trl/conftest.py +++ b/tst/trl/conftest.py @@ -4,4 +4,5 @@ from tst.unit.conftest import local_stores # noqa: F401 from tst.unit.openenv.environment_test import tools # noqa: F401 from tst.unit.task.episode.run_test import teardowns # noqa: F401 +from tst.unit.training._support import serve # noqa: F401 from tst.unit.training.trl_test import served # noqa: F401 diff --git a/tst/unit/test_optional_extras_stay_optional.py b/tst/unit/test_optional_extras_stay_optional.py index 717fdc1db..17c8a6726 100644 --- a/tst/unit/test_optional_extras_stay_optional.py +++ b/tst/unit/test_optional_extras_stay_optional.py @@ -26,11 +26,12 @@ def find_spec(self, fullname, path=None, target=None): sys.meta_path.insert(0, Refuse()) """ -# Not core: the Sail and Smol providers and the OpenEnv server need their optional extras, and the gateway runs only -# in its container image, and the code runner is a script that reads its arguments on import. +# Not core: the Sail and Smol providers, the OpenEnv server and NeMo Gym's resources server need their optional extras, +# and the gateway runs only in its container image, and the code runner is a script that reads its arguments on import. _NOT_CORE = ( "agent_env.providers.sandbox_providers.sail_vm", "agent_env.providers.sandbox_providers.smol_vm", - "agent_env.openenv", "agent_env.env.gateway", "agent_env.task_step.task_steps.run_code_runner", + "agent_env.openenv", "agent_env.training.nemo_gym", "agent_env.env.gateway", + "agent_env.task_step.task_steps.run_code_runner", ) _IMPORT_CORE = _BLOCKING + """ diff --git a/tst/unit/test_runtime_dependencies_are_imported.py b/tst/unit/test_runtime_dependencies_are_imported.py index de57ee567..ca82ceece 100644 --- a/tst/unit/test_runtime_dependencies_are_imported.py +++ b/tst/unit/test_runtime_dependencies_are_imported.py @@ -22,8 +22,12 @@ PYPROJECT = SRC.parents[1] / "pyproject.toml" CONTAINER_ONLY = (SRC / "env" / "gateway",) SELF = "agentenv-framework" -# The Smol SDK has no wheel for some development hosts and is deliberately absent from [dev]. -_UNINSTALLED_OPTIONAL_MODULES = {"smolmachines": frozenset({"smol"})} +# The Smol SDK has no wheel for some development hosts, and NeMo Gym needs Python 3.13.14 or later; both are +# deliberately absent from [dev]. +_UNINSTALLED_OPTIONAL_MODULES = { + "smolmachines": frozenset({"smol"}), + "nemo-gym": frozenset({"nemo_gym", "nemo_gym.base_resources_server", "nemo_gym.server_utils"}), +} def _normalize(name: str) -> str: diff --git a/tst/unit/training/_support.py b/tst/unit/training/_support.py new file mode 100644 index 000000000..b9ef37a45 --- /dev/null +++ b/tst/unit/training/_support.py @@ -0,0 +1,31 @@ +"""The fake bundle both trainer helpers' tests serve: the Episode API's fake steps as an OpenEnv env on loopback. Its +fixture takes the ``teardowns`` and ``tools`` fixtures from the conftest that imports it.""" + +import pytest + +from agent_env.openenv.app import _app, _score_at +from agent_env.openenv.environment import Served, ServedTask +from agent_env.task import EpisodeSpec, Task +from agent_env.training._openenv import Server + + +@pytest.fixture +def serve(teardowns, tools): + """Serves ``tasks`` by name, every one in the split ``all`` and those ``splits`` name in theirs, as ``build_app`` + serves a bundle's under the env name ``name``; each server is stopped after the test, if the test hasn't stopped + it to wait out its episodes' teardowns.""" + servers = [] + + def served(tasks, splits=None, max_concurrent_envs=8, name="dock"): + by_name = {} + for task_name, steps in tasks.items(): + task = Task.from_dict({"id": task_name, "version": 1, "steps": steps}) + by_name[task_name] = ServedTask(task, task_name, EpisodeSpec.from_task(task), _score_at("replies")) + named = {split: tuple(by_name[each] for each in names) for split, names in (splits or {}).items()} + servers.append(Server(_app(Served(splits={"all": tuple(by_name.values()), **named}, sandbox=None), name, + max_concurrent_envs))) + return servers[-1] + + yield served + for server in servers: + server.stop() diff --git a/tst/unit/training/conftest.py b/tst/unit/training/conftest.py index a6fa442e7..8183c3c0d 100644 --- a/tst/unit/training/conftest.py +++ b/tst/unit/training/conftest.py @@ -4,3 +4,4 @@ from tst.unit.openenv.environment_test import tools # noqa: F401 from tst.unit.task.episode.conftest import _disable_network # noqa: F401 from tst.unit.task.episode.run_test import teardowns # noqa: F401 +from tst.unit.training._support import serve # noqa: F401 diff --git a/tst/unit/training/nemo_gym_test.py b/tst/unit/training/nemo_gym_test.py new file mode 100644 index 000000000..2957897e3 --- /dev/null +++ b/tst/unit/training/nemo_gym_test.py @@ -0,0 +1,129 @@ +"""``write_server`` on the OpenEnv server ``build_app`` makes, served on loopback over the Episode API's fake steps: the +resources server's folder, its config and its rows, from a server's URL and from a bundle served while it writes.""" + +import json +import tomllib +from importlib.metadata import version + +import pytest +import yaml +from click.testing import CliRunner + +from agent_env.openenv.environment import END_TURN +from agent_env.training.nemo_gym.__main__ import main +from agent_env.training.nemo_gym.prepare import APP, write_server +from tst.unit.bundle._support import layout +from tst.unit.task.episode.run_test import ( + ALICE, + ITEMS, + ITEMS_MCP, + PANTRY, + PANTRY_MCP, + REPLIES, + TURN, + _tool_sessions, +) + +PLAYED = [ITEMS, ALICE, TURN, REPLIES] +STYLE = {**REPLIES, "id": "style", "verifier_id": "style"} +ADD_ITEM = {"type": "function", "name": "add_item", "description": "add_item.", "parameters": {"type": "object"}, + "strict": False} +FUNCTION_END_TURN = {"type": "function", "name": "end_turn", "description": END_TURN.description, + "parameters": END_TURN.input_schema, "strict": False} + + +def test_a_servers_tasks_become_a_resources_server_its_config_and_a_row_per_task_of_each_split(serve, tmp_path, + teardowns): + server = serve({"a": PLAYED, "b": [ITEMS, ALICE, {**TURN, "prompt": "Add a barrel."}, REPLIES]}, {"smoke": ["b"]}, + name="Dock Yard") + url = server.url + + folder = write_server(url, tmp_path) + server.stop() + + assert folder == tmp_path / "resources_servers" / "dock_yard" + assert (folder / "app.py").read_text() == APP + project = tomllib.loads((folder / "pyproject.toml").read_text()) + assert (project["project"]["name"], project["project"]["dependencies"], project["tool"]["uv"]["sources"]) == ( + "dock-yard-resources-server", ["nemo-gym", f"agentenv-framework[nemo-gym]=={version('agentenv-framework')}"], + {"nemo-gym": {"path": "../..", "editable": True}}) + assert yaml.safe_load((folder / "configs" / "dock_yard.yaml").read_text()) == { + "dock_yard": {"resources_servers": {"dock_yard": { + "entrypoint": "app.py", "domain": "agent", "description": "Dock Yard's tasks, served by AgentEnv", "url": url, + }}}, + "dock_yard_simple_agent": {"responses_api_agents": {"simple_agent": { + "entrypoint": "app.py", "resources_server": {"type": "resources_servers", "name": "dock_yard"}, + "model_server": {"type": "responses_api_models", "name": "policy_model"}, + }}}, + "dock_yard_environment_server": {"environment_servers": {"legacy_agent": { + "entrypoint": "app.py", "agent_server": {"type": "responses_api_agents", "name": "dock_yard_simple_agent"}, + }}}, + } + system = {"role": "system", "content": "You keep the items."} + agent = {"type": "responses_api_agents", "name": "dock_yard_simple_agent"} + assert _rows(folder / "data" / "smoke.jsonl") == [{ + "responses_create_params": {"input": [system, {"role": "user", "content": "Add a barrel."}], + "tools": [ADD_ITEM, FUNCTION_END_TURN]}, + "agent_ref": agent, "split": "smoke", "index": 0, "task_id": "b", + }] + assert [(row["split"], row["index"], row["task_id"]) for row in _rows(folder / "data" / "all.jsonl")] == [ + ("all", 0, "a"), ("all", 1, "b")] + assert len(teardowns.finished) == 1 + + +def test_each_toolset_is_probed_once_and_a_rows_tools_are_its_tasks(serve, tmp_path, monkeypatch, teardowns): + _tool_sessions(monkeypatch, {ITEMS_MCP: ["add_item"], PANTRY_MCP: ["take_item"]}) + server = serve({"a": PLAYED, "p": [PANTRY, {**ALICE, "env_ids": ["pantry"]}, TURN, REPLIES], "c": PLAYED}) + + folder = write_server(server.url, tmp_path, name="dock") + server.stop() + + assert [[tool["name"] for tool in row["responses_create_params"]["tools"]] + for row in _rows(folder / "data" / "all.jsonl")] == [ + ["add_item", "end_turn"], ["take_item", "end_turn"], ["add_item", "end_turn"]] + assert len(teardowns.finished) == 2 + + +def test_a_split_whose_name_isnt_a_file_name_is_refused_before_anything_is_written(serve, tmp_path): + server = serve({"a": PLAYED}, {"../escape": ["a"]}) + + with pytest.raises(ValueError, match=r"the server's splits \['\.\./escape'\] can't name a data file"): + write_server(server.url, tmp_path / "gym") + + assert list(tmp_path.iterdir()) == [] + + +def test_reward_components_take_no_reward(tmp_path): + with pytest.raises(ValueError, match="reward_components makes the reward the sum"): + write_server("http://127.0.0.1:1", tmp_path, reward="replies", reward_components=True) + assert not (tmp_path / "resources_servers").exists() + + +def test_a_tool_named_after_a_route_gym_serves_is_refused(serve, tmp_path, tools): + tools("verify") + server = serve({"a": PLAYED}) + + with pytest.raises(ValueError, match="the env's tool 'verify' can't be a NeMo Gym tool"): + write_server(server.url, tmp_path) + + +def test_a_bundle_is_served_while_the_rows_are_written_and_the_config_has_the_server_serve_it(tmp_path, monkeypatch, + teardowns): + monkeypatch.setenv("HOME", str(tmp_path)) + unbound = {key: value for key, value in ALICE.items() if key not in ("env_ids", "role")} + bundle = layout(tmp_path / "dock", {"tasks/a.json": json.dumps([ITEMS, unbound, TURN, REPLIES, STYLE])}) + + result = CliRunner().invoke(main, [str(bundle), str(tmp_path / "gym"), "--name", "dock", "--sandbox", "local", + "--max-concurrent-envs", "32", "--reward-components"]) + + assert result.exit_code == 0, result.output + config = yaml.safe_load((tmp_path / "gym" / "resources_servers" / "dock" / "configs" / "dock.yaml").read_text()) + assert {key: value for key, value in config["dock"]["resources_servers"]["dock"].items() + if key in ("bundle", "max_concurrent_envs", "sandbox", "url", "reward_components")} == { + "bundle": str(bundle.resolve()), "max_concurrent_envs": 32, "sandbox": "local", "reward_components": True} + assert len(_rows(tmp_path / "gym" / "resources_servers" / "dock" / "data" / "all.jsonl")) == 1 + assert len(teardowns.finished) == 1 + + +def _rows(path): + return [json.loads(line) for line in path.read_text().splitlines()] diff --git a/tst/unit/training/trl_test.py b/tst/unit/training/trl_test.py index 17fc6d85b..0335e1ccc 100644 --- a/tst/unit/training/trl_test.py +++ b/tst/unit/training/trl_test.py @@ -15,12 +15,11 @@ from agentenv_protocol.a2a_agent import proxy as proxy_module from agent_env.config.runtime import Config -from agent_env.openenv.app import _app, _score_at -from agent_env.openenv.environment import AgentEnvEnvironment, Served, ServedTask -from agent_env.task import EpisodeSpec, Task +from agent_env.openenv.environment import AgentEnvEnvironment from agent_env.task_step.task_step import TaskStep from agent_env.training import trl -from agent_env.training.trl import ENDED, FAILED, AgentEnv +from agent_env.training._openenv import ENDED, FAILED +from agent_env.training.trl import AgentEnv from tst.unit.bundle._support import layout from tst.unit.openenv.environment_test import AGAIN from tst.unit.task.episode.run_test import ALICE, ITEMS, PANTRY, PANTRY_MCP, REPLIES, TURN, _tool_sessions @@ -31,27 +30,19 @@ @pytest.fixture -def served(teardowns, tools): - """Serves ``tasks`` by name, every one in the split ``all`` and those ``splits`` name in theirs, as ``build_app`` - serves a bundle's; closed after the test.""" +def served(serve): + """``serve``'s tasks as an ``AgentEnv``, whose close stops their server; closed after the test.""" opened = [] - def serve(tasks, splits=None, max_concurrent_envs=8, **kwargs): - by_name = {} - for name, steps in tasks.items(): - task = Task.from_dict({"id": name, "version": 1, "steps": steps}) - by_name[name] = ServedTask(task, name, EpisodeSpec.from_task(task), _score_at("replies")) - named = {split: tuple(by_name[name] for name in names) for split, names in (splits or {}).items()} - server = trl._Server(_app(Served(splits={"all": tuple(by_name.values()), **named}, sandbox=None), "dock", - max_concurrent_envs)) - env = AgentEnv(server.url, **kwargs) - env._server = server - opened.append(env) - return env - - yield serve - for env in opened: - env.close() + def env(tasks, splits=None, max_concurrent_envs=8, **kwargs): + server = serve(tasks, splits, max_concurrent_envs) + opened.append(AgentEnv(server.url, **kwargs)) + opened[-1]._server = server + return opened[-1] + + yield env + for each in opened: + each.close() def _tools(environment): diff --git a/tst/util/capabilities.py b/tst/util/capabilities.py index 70fe65823..9a663a86c 100644 --- a/tst/util/capabilities.py +++ b/tst/util/capabilities.py @@ -37,6 +37,10 @@ #: tier's CI job installs them. TRL = "trl_installed" +#: The NeMo Gym tier (``tst/nemo_gym``) runs the resources server in-process; nemo-gym needs Python 3.13.14 or later and +#: isn't in the dev extra, and only that tier's CI job installs it. +NEMO_GYM = "nemo_gym_installed" + #: ``collect_artifacts`` sizes a file with ``stat -c %s``, which only GNU stat takes (macOS ships BSD stat), #: so collecting off a local sandbox needs GNU stat first on PATH. GNU_STAT = "gnu_stat" diff --git a/uv.lock b/uv.lock index 624c83817..511f1e6ad 100644 --- a/uv.lock +++ b/uv.lock @@ -4,8 +4,10 @@ requires-python = ">=3.11.4" 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 >= '3.13.14' and python_full_version < '3.14' and sys_platform == 'win32'", + "python_full_version >= '3.13' and python_full_version < '3.13.14' and sys_platform == 'win32'", + "python_full_version >= '3.13.14' and python_full_version < '3.14' and sys_platform != 'win32'", + "python_full_version >= '3.13' and python_full_version < '3.13.14' and sys_platform != 'win32'", "python_full_version == '3.12.*' and sys_platform == 'win32'", "python_full_version < '3.12' and sys_platform == 'win32'", "python_full_version == '3.12.*' and sys_platform == 'emscripten'", @@ -59,7 +61,8 @@ dependencies = [ { name = "litellm" }, { name = "mcp" }, { name = "modal" }, - { name = "packaging" }, + { name = "packaging", version = "26.2", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.13.14'" }, + { name = "packaging", version = "26.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.13.14'" }, { name = "pydantic" }, { name = "pymongo" }, { name = "python-multipart" }, @@ -84,7 +87,8 @@ daytona = [ { name = "daytona" }, ] dev = [ - { name = "anyio" }, + { name = "anyio", version = "4.14.2", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.13.14'" }, + { name = "anyio", version = "4.15.1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.13.14'" }, { name = "av", version = "18.1.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.12'" }, { 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"tensorlake", "tenki", "trl", "vercel"], marker = "extra == 'dev'" }, + { name = "agentenv-framework", extras = ["openenv"], marker = "extra == 'nemo-gym'" }, { name = "agentenv-framework", extras = ["openenv"], marker = "extra == 'trl'" }, { name = "agentenv-framework-protocol", extras = ["computer"], editable = "packages/agentenv-protocol" }, { name = "anyio", marker = "extra == 'vercel'", specifier = ">=4,<5" }, @@ -185,6 +195,7 @@ requires-dist = [ { name = "mcp", specifier = ">=1.25,<2" }, { name = "modal", specifier = ">=1.5.2.dev22" }, { name = "moto", marker = "extra == 'dev'", specifier = ">=5.0.0" }, + { name = "nemo-gym", marker = "python_full_version >= '3.13.14' and extra == 'nemo-gym'", specifier = ">=0.7.0rc0" }, { name = "openenv", marker = "extra == 'openenv'", specifier = ">=0.9" }, { name = "packaging", specifier = ">=22" }, { name = "pillow", marker = "extra == 'dev'", specifier = ">=10.4" }, @@ -212,7 +223,7 @@ requires-dist = [ { name = "uvicorn", specifier = 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