From 292628254faf0a9e4c73b88e4a3f97a066a7f50e Mon Sep 17 00:00:00 2001 From: Christian Munley Date: Thu, 8 Jan 2026 22:48:59 -0800 Subject: [PATCH 01/31] verifiers draft Signed-off-by: Christian Munley --- pyproject.toml | 16 +- resources_servers/verifiers/README.md | 61 ++++++ resources_servers/verifiers/__init__.py | 0 resources_servers/verifiers/app.py | 119 +++++++++++ .../verifiers/configs/verifiers.yaml | 27 +++ .../verifiers/data/example.jsonl | 5 + resources_servers/verifiers/requirements.txt | 4 + resources_servers/verifiers/schemas.py | 107 ++++++++++ .../verifiers/scripts/create_dataset.py | 74 +++++++ .../verifiers_agent/__init__.py | 0 responses_api_agents/verifiers_agent/app.py | 189 ++++++++++++++++++ .../verifiers_agent/requirements.txt | 4 + 12 files changed, 591 insertions(+), 15 deletions(-) create mode 100644 resources_servers/verifiers/README.md create mode 100644 resources_servers/verifiers/__init__.py create mode 100644 resources_servers/verifiers/app.py create mode 100644 resources_servers/verifiers/configs/verifiers.yaml create mode 100644 resources_servers/verifiers/data/example.jsonl create mode 100644 resources_servers/verifiers/requirements.txt create mode 100644 resources_servers/verifiers/schemas.py create mode 100644 resources_servers/verifiers/scripts/create_dataset.py create mode 100644 responses_api_agents/verifiers_agent/__init__.py create mode 100644 responses_api_agents/verifiers_agent/app.py create mode 100644 responses_api_agents/verifiers_agent/requirements.txt diff --git a/pyproject.toml b/pyproject.toml index 8973f9753..0c0bcadb2 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -76,18 +76,15 @@ dependencies = [ # # By design, most (if not all) dependencies are unfrozen here to be easier to consume. The core pieces we need are server infra like FastAPI, etc. ######################################## - # OpenAI: We leverage OpenAI Responses, Chat Completions, and Completions schemas for Nemo Gym abstractions. It may also be used to directly query endpoints. # We specifically upper bound this OpenAI dependency since the version bumps so frequently. # Updated Wed Oct 29, 2025 with openai==2.6.1 # License: Apache 2.0 https://github.com/openai/openai-python/blob/a8258744cbecf51321587fc870e8920bd2c07809/LICENSE "openai<=2.6.1", - # tqdm: Used for progress tracking on batch operations. # Updated Fri Jul 25, 2025 with tqdm==4.67.1 # License: MIT https://github.com/tqdm/tqdm/blob/0ed5d7f18fa3153834cbac0aa57e8092b217cc16/LICENCE "tqdm", - # Pydantic: Used for typing and import/export. # Updated Fri Jul 25, 2025 with pydantic==2.11.7 and pydantic_core==2.33.2 # pydantic license: MIT https://github.com/pydantic/pydantic/blob/1c79f0e4d3fbdb8b93e837175d7098e016117237/LICENSE @@ -96,68 +93,57 @@ dependencies = [ "pydantic", "pydantic_core", "devtools", - # FastAPI: Used for server infrastructure # Updated Fri Jul 25, 2025 with fastapi==0.116.1 # License: MIT https://github.com/fastapi/fastapi/blob/6df50d40fe195adc026af169d6ebf298a1c183a5/LICENSE "fastapi", - # Uvicorn: Used to serve FastAPI apps # Updated Mon Jul 28, 2025 with uvicorn==0.35.0 # License: BSD 3-Clause https://github.com/encode/uvicorn/blob/c1144fd4f130388cffc05ee17b08747ce8c1be11/LICENSE.md "uvicorn", - # UVLoop: a faster async event loop than Python's native asyncio. Used automatically by Uvicorn as an async loop backend. # Updated Fri Aug 01, 2025 with uvloop==0.21.0 # License: Apache 2.0 and MIT https://github.com/MagicStack/uvloop/blob/96b7ed31afaf02800d779a395591da6a2c8c50e1/LICENSE-APACHE https://github.com/MagicStack/uvloop/blob/96b7ed31afaf02800d779a395591da6a2c8c50e1/LICENSE-MIT "uvloop", - # Hydra and OmegaConf: CLI Configuration utilities # Updated Tue Jul 29, 2025 with hydra-core==1.3.2 and omegaconf==2.3.0 # hydra-core license: MIT https://github.com/facebookresearch/hydra/blob/737fc3349ef3a4031035645f7e8c80be66a57042/LICENSE # omegaconf license: BSD 3-Clause https://github.com/omry/omegaconf/blob/117f7de07285e4d1324b9229eaf873de15279457/LICENSE "hydra-core", "omegaconf", - # Gradio: For simple frontend interfaces for viewing data # Updated Sun Aug 03, 2025 with gradio==5.16.0 # License: Apache 2.0 https://github.com/gradio-app/gradio/blob/2b4432edea8a62659e180e24eedd2bddbed08e77/LICENSE "gradio", - # MLFlow: used for interacting with the Gitlab model registry # Updated Tue Aug 05, 2025 with mlflow==3.2.0 # License: Apache 2.0 https://github.com/mlflow/mlflow/blob/1510ed1bc92d3a4258973005d64f64a43136e251/LICENSE.txt "mlflow", - # Tdigest: Data structure for percentiles and quantiles, specifically calculating metrics such as median in a memory-efficient way. # Updated Wed Sep 17, 2025 with tdigest==0.5.2.2 # License: MIT https://github.com/CamDavidsonPilon/tdigest/blob/e35cfd708962ae5e9d1c5d2b15a99af7b2e2f323/LICENSE.txt "tdigest>=0.5.2.2", - # aiohttp: async http backend # Updated Sun Sep 21, 2025 with aiohttp==3.12.15 # License: Apache 2.0 https://github.com/aio-libs/aiohttp/blob/9a2f146a12e3525b43e96723ef41584bf9cf784e/LICENSE.txt "aiohttp", - # yappi: profiling tool # Updated Mon Sep 22, 2025 with yappi==1.6.10 # License: MIT https://github.com/sumerc/yappi/blob/1d3f7501701e1f050b6dcd6a86fd36aec08185c7/LICENSE "yappi", - # Ray: Used for distributed processing # Updated Fri Oct 18, 2025 with ray[default]==2.46.0 # License: Apache 2.0 https://github.com/ray-project/ray/blob/master/LICENSE "ray[default]", - # psutil: Cross-platform process and system utilities # Updated: Fri Nov 07, 2025 with psutil==6.1.1 # License: BSD 3-Clause https://github.com/giampaolo/psutil/blob/master/LICENSE "psutil", - # HuggingFace datasets: for loading and converting parquet datasets # Updated Thu Dec 04, 2025 with datasets==4.4.1 # License: Apache 2.0 https://github.com/huggingface/datasets/blob/main/LICENSE "datasets", + "verifiers>=0.1.9.post0", ] [dependency-groups] diff --git a/resources_servers/verifiers/README.md b/resources_servers/verifiers/README.md new file mode 100644 index 000000000..2b1e78b97 --- /dev/null +++ b/resources_servers/verifiers/README.md @@ -0,0 +1,61 @@ +# Verifiers Integration for NeMo Gym + +Integration of [verifiers](https://github.com/primeintellect-ai/verifiers) environments with NeMo Gym. + +From verifiers' readme: "Verifiers is a library for creating RL environments for LLMs." It includes many community implementations on Prime Intellect's [Environments Hub](https://app.primeintellect.ai/dashboard/environments). + +## Installation + +Install verifiers and an environment from the Environments Hub: + +```bash +uv add verifiers +uv tool install prime +prime env install primeintellect/reverse-text +prime env install primeintellect/math-python +``` + +Currently the environment package must also be listed in the `requirements.txt` files for both the resource server and agent, since they run in isolated venvs. For example: + +``` +--extra-index-url https://hub.primeintellect.ai/primeintellect/simple/ +reverse-text +``` + +## Dataset Prep + +**Create dataset from verifiers environment:** +```bash +python resources_servers/verifiers/scripts/create_dataset.py \ + --env-id reverse-text \ + --size 100 \ + --output resources_servers/verifiers/data/reverse_text_train.jsonl +``` + +**With custom environment args:** +```bash +python resources_servers/verifiers/scripts/create_dataset.py \ + --env-id math-python \ + --env-args '{"difficulty": "easy"}' \ + --size 500 \ + --seed 42 \ + --output resources_servers/verifiers/data/math_train.jsonl +``` + +## Rollout Collection + +```bash +ng_run "+config_paths=[resources_servers/verifiers/configs/verifiers.yaml,responses_api_models/vllm_model/configs/vllm_model.yaml]" +``` + +```bash +ng_collect_rollouts \ + +agent_name=verifiers_agent \ + +input_jsonl_fpath=resources_servers/verifiers/data/example.jsonl \ + +output_jsonl_fpath=results/verifiers_rollouts.jsonl \ + +limit=5 +``` + +## Available Environments + +Any text-based environment from the [Environments Hub](https://app.primeintellect.ai/dashboard/environments): diff --git a/resources_servers/verifiers/__init__.py b/resources_servers/verifiers/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/resources_servers/verifiers/app.py b/resources_servers/verifiers/app.py new file mode 100644 index 000000000..67adeacef --- /dev/null +++ b/resources_servers/verifiers/app.py @@ -0,0 +1,119 @@ +# Copyright (c) 2025, NVIDIA CORPORATION. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +import logging +import uuid +from typing import Any + +import verifiers as vf +from fastapi import FastAPI, Request +from pydantic import ConfigDict, Field + +from nemo_gym.base_resources_server import SimpleResourcesServer + +from schemas import ( + VerifiersCloseRequest, + VerifiersCloseResponse, + VerifiersResourcesServerConfig, + VerifiersSeedSessionRequest, + VerifiersSeedSessionResponse, +) + + +logger = logging.getLogger(__name__) + + +class VerifiersResourcesServer(SimpleResourcesServer): + model_config = ConfigDict(arbitrary_types_allowed=True) + + config: VerifiersResourcesServerConfig + env_id_to_env: dict[str, vf.Environment] = Field(default_factory=dict) + env_id_to_dataset: dict[str, list[dict[str, Any]]] = Field(default_factory=dict) + + def setup_webserver(self) -> FastAPI: + app = super().setup_webserver() + app.post("/close")(self.close) + app.post("/get_example")(self.get_example) + return app + + async def seed_session(self, request: Request, body: VerifiersSeedSessionRequest) -> VerifiersSeedSessionResponse: + env_id = str(uuid.uuid4()) + vf_env = vf.load_environment(body.vf_env_id, **body.vf_env_args) + dataset = vf_env.get_dataset(n=body.dataset_n, seed=body.dataset_seed) + rows = [ + { + "prompt": dataset["prompt"][i], + "example_id": dataset["example_id"][i], + "task": dataset["task"][i], + **({"answer": dataset["answer"][i]} if "answer" in dataset.column_names else {}), + **({"info": dataset["info"][i]} if "info" in dataset.column_names else {}), + } + for i in range(len(dataset)) + ] + + self.env_id_to_env[env_id] = vf_env + self.env_id_to_dataset[env_id] = rows + + logger.info(f"Loaded verifiers environment '{body.vf_env_id}' with {len(rows)} examples (env_id={env_id})") + + return VerifiersSeedSessionResponse( + env_id=env_id, + dataset_length=len(rows), + vf_env_id=body.vf_env_id, + ) + + async def get_example(self, request: Request, body: dict) -> dict: + env_id = body["env_id"] + task_idx = body["task_idx"] + + if env_id not in self.env_id_to_dataset: + raise ValueError(f"Unknown env_id: {env_id}") + + rows = self.env_id_to_dataset[env_id] + if task_idx < 0 or task_idx >= len(rows): + raise ValueError(f"task_idx {task_idx} out of range [0, {len(rows)})") + + return rows[task_idx] + + async def verify(self, request: Request, body: dict) -> dict: + response = body.get("response", {}) + reward = response.get("reward", 0.0) + + return {**body, "reward": reward} + + async def close(self, request: Request, body: VerifiersCloseRequest) -> VerifiersCloseResponse: + env_id = body.env_id + + try: + if env_id in self.env_id_to_env: + del self.env_id_to_env[env_id] + if env_id in self.env_id_to_dataset: + del self.env_id_to_dataset[env_id] + logger.info(f"Closed verifiers environment session: {env_id}") + return VerifiersCloseResponse(message="Success", success=True) + except Exception as e: + logger.exception(f"Error closing environment {env_id}") + return VerifiersCloseResponse(message=repr(e), success=False) + + def get_env(self, env_id: str) -> vf.Environment: + if env_id not in self.env_id_to_env: + raise ValueError(f"Unknown env_id: {env_id}") + return self.env_id_to_env[env_id] + + def get_dataset_rows(self, env_id: str) -> list[dict[str, Any]]: + if env_id not in self.env_id_to_dataset: + raise ValueError(f"Unknown env_id: {env_id}") + return self.env_id_to_dataset[env_id] + +if __name__ == "__main__": + VerifiersResourcesServer.run_webserver() diff --git a/resources_servers/verifiers/configs/verifiers.yaml b/resources_servers/verifiers/configs/verifiers.yaml new file mode 100644 index 000000000..6d4c8a5d0 --- /dev/null +++ b/resources_servers/verifiers/configs/verifiers.yaml @@ -0,0 +1,27 @@ +verifiers_resources_server: + resources_servers: + verifiers: + entrypoint: app.py + domain: other + verified: false + +verifiers_agent: + responses_api_agents: + verifiers_agent: + entrypoint: app.py + resources_server: + type: resources_servers + name: verifiers_resources_server + model_server: + type: responses_api_models + name: policy_model + model_name: "Qwen/Qwen3-4B" + vf_env_id: "reverse-text" + vf_env_args: {} + dataset_n: -1 + dataset_seed: null + group_size: 1 + max_concurrent_generation: -1 + max_concurrent_scoring: -1 + max_tokens: 512 + temperature: 1.0 diff --git a/resources_servers/verifiers/data/example.jsonl b/resources_servers/verifiers/data/example.jsonl new file mode 100644 index 000000000..5a14172c9 --- /dev/null +++ b/resources_servers/verifiers/data/example.jsonl @@ -0,0 +1,5 @@ +{"task_idx": 0, "responses_create_params": {"input": [{"content": "Reverse the text character-by-character. Put your answer in tags.", "role": "system"}, {"content": "The community in Bruck was merged into it", "role": "user"}]}, "question": "The community in Bruck was merged into it", "answer": "ti otni degrem saw kcurB ni ytinummoc ehT", "task": "default", "example_id": 0} +{"task_idx": 1, "responses_create_params": {"input": [{"content": "Reverse the text character-by-character. Put your answer in tags.", "role": "system"}, {"content": "In 1891 the community inaugurated its own cemetery", "role": "user"}]}, "question": "In 1891 the community inaugurated its own cemetery", "answer": "yretemec nwo sti detaruguani ytinummoc eht 1981 nI", "task": "default", "example_id": 1} +{"task_idx": 2, "responses_create_params": {"input": [{"content": "Reverse the text character-by-character. Put your answer in tags.", "role": "system"}, {"content": "On the other hand, the Rabbinate of Baiersdorf was dissolved in 1894, and after 1900 no Jews lived in Bruck", "role": "user"}]}, "question": "On the other hand, the Rabbinate of Baiersdorf was dissolved in 1894, and after 1900 no Jews lived in Bruck", "answer": "kcurB ni devil sweJ on 0091 retfa dna ,4981 ni devlossid saw frodsreiaB fo etanibbaR eht ,dnah rehto eht nO", "task": "default", "example_id": 2} +{"task_idx": 3, "responses_create_params": {"input": [{"content": "Reverse the text character-by-character. Put your answer in tags.", "role": "system"}, {"content": "A monument to the former was erected on 5 May 1875 and destroyed on 15 September 1933", "role": "user"}]}, "question": "A monument to the former was erected on 5 May 1875 and destroyed on 15 September 1933", "answer": "3391 rebmetpeS 51 no deyortsed dna 5781 yaM 5 no detcere saw remrof eht ot tnemunom A", "task": "default", "example_id": 3} +{"task_idx": 4, "responses_create_params": {"input": [{"content": "Reverse the text character-by-character. Put your answer in tags.", "role": "system"}, {"content": "He also composed the score for the 2012 documentary film Minecraft: The Story of Mojang", "role": "user"}]}, "question": "He also composed the score for the 2012 documentary film Minecraft: The Story of Mojang", "answer": "gnajoM fo yrotS ehT :tfarceniM mlif yratnemucod 2102 eht rof erocs eht desopmoc osla eH", "task": "default", "example_id": 4} diff --git a/resources_servers/verifiers/requirements.txt b/resources_servers/verifiers/requirements.txt new file mode 100644 index 000000000..c977e0632 --- /dev/null +++ b/resources_servers/verifiers/requirements.txt @@ -0,0 +1,4 @@ +-e nemo-gym[dev] @ ../../ +verifiers>=0.1.9 +--extra-index-url https://hub.primeintellect.ai/primeintellect/simple/ +reverse-text diff --git a/resources_servers/verifiers/schemas.py b/resources_servers/verifiers/schemas.py new file mode 100644 index 000000000..50bc80228 --- /dev/null +++ b/resources_servers/verifiers/schemas.py @@ -0,0 +1,107 @@ +# Copyright (c) 2025, NVIDIA CORPORATION. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +from typing import Any, Literal + +from pydantic import BaseModel, ConfigDict, Field + +from nemo_gym.base_resources_server import ( + BaseResourcesServerConfig, + BaseSeedSessionRequest, + BaseSeedSessionResponse, + BaseVerifyRequest, + BaseVerifyResponse, +) +from nemo_gym.openai_utils import NeMoGymResponse, NeMoGymResponseCreateParamsNonStreaming + + +class VerifiersResourcesServerConfig(BaseResourcesServerConfig): + pass + + +class VerifiersSeedSessionRequest(BaseSeedSessionRequest): + vf_env_id: str = Field(description="The verifiers environment ID to load") + vf_env_args: dict = Field(default_factory=dict, description="Arguments to pass to the environment") + dataset_n: int = Field(default=-1, description="Number of examples to load (-1 for all)") + dataset_seed: int | None = Field(default=None, description="Seed for dataset shuffling") + + +class VerifiersSeedSessionResponse(BaseSeedSessionResponse): + env_id: str = Field(description="Unique ID for this environment session") + dataset_length: int = Field(description="Number of examples in the dataset") + vf_env_id: str = Field(description="The verifiers environment ID that was loaded") + + +class VerifiersRunRequest(BaseModel): + env_id: str = Field(description="Environment session ID from seed_session") + task_indices: list[int] = Field(description="Indices of examples to run") + group_size: int = Field(default=1, description="Number of rollouts per example") + sampling_args: dict = Field(default_factory=dict, description="Sampling arguments for generation") + max_concurrent_generation: int = Field(default=-1, description="Max concurrent generation requests") + max_concurrent_scoring: int = Field(default=-1, description="Max concurrent scoring requests") + + +class VerifiersRunResponse(BaseModel): + states: list[dict[str, Any]] = Field(description="Verifiers State objects (serialized)") + rewards: list[float] = Field(description="Rewards for each rollout") + metrics: list[dict[str, Any]] = Field(description="Metrics for each rollout") + + +class VerifiersCloseRequest(BaseModel): + env_id: str + + +class VerifiersCloseResponse(BaseModel): + message: str + success: bool + + +class VerifiersAgentConfig(BaseModel): + model_config = ConfigDict(extra="allow") + + vf_env_id: str = Field(description="Default verifiers environment ID") + vf_env_args: dict = Field(default_factory=dict, description="Default environment arguments") + dataset_n: int = Field(default=-1, description="Number of examples to load") + dataset_seed: int | None = Field(default=None, description="Seed for dataset shuffling") + group_size: int = Field(default=1, description="Number of rollouts per example") + max_concurrent_generation: int = Field(default=-1, description="Max concurrent generation") + max_concurrent_scoring: int = Field(default=-1, description="Max concurrent scoring") + + +class VerifiersAgentRunRequest(BaseModel): + model_config = ConfigDict(extra="allow") + + task_idx: int = Field(description="Index of the example to run") + responses_create_params: NeMoGymResponseCreateParamsNonStreaming = Field( + default_factory=lambda: NeMoGymResponseCreateParamsNonStreaming(input=[]) + ) + + +class VerifiersNeMoGymResponse(NeMoGymResponse): + env_id: str + group_id: str + contains_transitions: Literal[True] = True + reward: float + metrics: dict[str, Any] = Field(default_factory=dict) + parallel_tool_calls: bool = False + tool_choice: str = "none" + tools: list = Field(default_factory=list) + + +class VerifiersAgentVerifyRequest(BaseVerifyRequest): + model_config = ConfigDict(extra="allow") + response: VerifiersNeMoGymResponse + + +class VerifiersAgentVerifyResponse(VerifiersAgentVerifyRequest, BaseVerifyResponse): + model_config = ConfigDict(extra="allow") diff --git a/resources_servers/verifiers/scripts/create_dataset.py b/resources_servers/verifiers/scripts/create_dataset.py new file mode 100644 index 000000000..ebb088d47 --- /dev/null +++ b/resources_servers/verifiers/scripts/create_dataset.py @@ -0,0 +1,74 @@ +# Copyright (c) 2025, NVIDIA CORPORATION. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +""" +python scripts/create_dataset.py \ + --env-id reverse-text \ + --size 1000 \ + --output data/reverse_text_train.jsonl + +python scripts/create_dataset.py \ + --env-id math-python \ + --env-args '{"difficulty": "easy"}' \ + --size 1000 \ + --seed 42 \ + --output data/math_train.jsonl +""" +import argparse +import json +from pathlib import Path + +import verifiers as vf + + +def main(): + parser = argparse.ArgumentParser(description="Create dataset from verifiers environment") + parser.add_argument("--env-id", required=True, help="Verifiers environment ID (e.g., reverse-text)") + parser.add_argument("--env-args", default="{}", help="JSON string of environment arguments") + parser.add_argument("--size", type=int, default=-1, help="Number of examples (-1 for all)") + parser.add_argument("--seed", type=int, default=None, help="Random seed for shuffling") + parser.add_argument("--output", required=True, help="Output JSONL file path") + args = parser.parse_args() + + env_args = json.loads(args.env_args) + + print(f"Loading verifiers environment: {args.env_id}") + env = vf.load_environment(args.env_id, **env_args) + + print(f"Getting dataset (size={args.size}, seed={args.seed})") + dataset = env.get_dataset(n=args.size, seed=args.seed) + + print(f"Dataset has {len(dataset)} examples") + + output_path = Path(args.output) + output_path.parent.mkdir(parents=True, exist_ok=True) + + with open(output_path, "w") as f: + for i in range(len(dataset)): + row = { + "task_idx": i, + "responses_create_params": { + "input": dataset["prompt"][i], + }, + "question": dataset["prompt"][i][-1]["content"] if dataset["prompt"][i] else "", + "answer": dataset["answer"][i] if "answer" in dataset.column_names else "", + "task": dataset["task"][i], + "example_id": dataset["example_id"][i], + } + f.write(json.dumps(row) + "\n") + + print(f"Wrote {len(dataset)} examples to {output_path}") + + +if __name__ == "__main__": + main() diff --git a/responses_api_agents/verifiers_agent/__init__.py b/responses_api_agents/verifiers_agent/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/responses_api_agents/verifiers_agent/app.py b/responses_api_agents/verifiers_agent/app.py new file mode 100644 index 000000000..23fe8ca15 --- /dev/null +++ b/responses_api_agents/verifiers_agent/app.py @@ -0,0 +1,189 @@ +# Copyright (c) 2025, NVIDIA CORPORATION. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +import logging + +import verifiers as vf +from openai import AsyncOpenAI +from pydantic import ConfigDict, Field +from verifiers.utils.async_utils import maybe_semaphore + +from nemo_gym.base_resources_server import BaseRunRequest +from nemo_gym.base_responses_api_agent import BaseResponsesAPIAgentConfig, SimpleResponsesAPIAgent +from nemo_gym.config_types import ModelServerRef, ResourcesServerRef +from nemo_gym.openai_utils import NeMoGymResponseCreateParamsNonStreaming + +from resources_servers.verifiers.schemas import ( + VerifiersAgentVerifyRequest, + VerifiersAgentVerifyResponse, + VerifiersNeMoGymResponse, + VerifiersSeedSessionResponse, +) + + +logger = logging.getLogger(__name__) + + +class VerifiersAgentConfig(BaseResponsesAPIAgentConfig): + resources_server: ResourcesServerRef + model_server: ModelServerRef + model_name: str = Field(default="", description="Model name for the vLLM server") + + vf_env_id: str = Field(default="", description="Default verifiers environment ID") + vf_env_args: dict = Field(default_factory=dict, description="Environment arguments") + dataset_n: int = Field(default=-1, description="Number of examples to load") + dataset_seed: int | None = Field(default=None, description="Dataset shuffle seed") + + group_size: int = Field(default=1, description="Number of rollouts per example") + max_concurrent_generation: int = Field(default=-1, description="Max concurrent generation requests") + max_concurrent_scoring: int = Field(default=-1, description="Max concurrent scoring requests") + + max_tokens: int = Field(default=512, description="Max tokens for generation") + temperature: float = Field(default=1.0, description="Sampling temperature") + + +class VerifiersAgentRunRequest(BaseRunRequest): + model_config = ConfigDict(extra="allow") + + task_idx: int + responses_create_params: NeMoGymResponseCreateParamsNonStreaming = Field( + default_factory=lambda: NeMoGymResponseCreateParamsNonStreaming(input=[]) + ) + + +class VerifiersAgent(SimpleResponsesAPIAgent): + """Uses vf_env.run_group() with an AsyncOpenAI client pointing to the vLLM model server.""" + model_config = ConfigDict(arbitrary_types_allowed=True) + config: VerifiersAgentConfig + + _vf_env: vf.Environment | None = None + _env_id: str | None = None + _dataset_rows: list[dict] | None = None + _openai_client: AsyncOpenAI | None = None + + async def _ensure_env_loaded(self) -> None: + if self._vf_env is not None: + return + + response = await self.server_client.post( + server_name=self.config.resources_server.name, + url_path="/seed_session", + json={ + "vf_env_id": self.config.vf_env_id, + "vf_env_args": self.config.vf_env_args, + "dataset_n": self.config.dataset_n, + "dataset_seed": self.config.dataset_seed, + }, + ) + response.raise_for_status() + seed_response = VerifiersSeedSessionResponse.model_validate(await response.json()) + + self._env_id = seed_response.env_id + logger.info(f"Seeded verifiers environment: {seed_response.vf_env_id} with {seed_response.dataset_length} examples") + + self._vf_env = vf.load_environment(self.config.vf_env_id, **self.config.vf_env_args) + dataset = self._vf_env.get_dataset(n=self.config.dataset_n, seed=self.config.dataset_seed) + + self._dataset_rows = [ + { + "prompt": dataset["prompt"][i], + "example_id": dataset["example_id"][i], + "task": dataset["task"][i], + **({"answer": dataset["answer"][i]} if "answer" in dataset.column_names else {}), + **({"info": dataset["info"][i]} if "info" in dataset.column_names else {}), + } + for i in range(len(dataset)) + ] + + def _get_openai_client(self) -> AsyncOpenAI: + if self._openai_client is None: + from nemo_gym.global_config import get_first_server_config_dict + + server_config_dict = get_first_server_config_dict( + self.server_client.global_config_dict, + self.config.model_server.name, + ) + model_server_url = f"http://{server_config_dict.host}:{server_config_dict.port}" + + if not model_server_url.endswith("/v1"): + model_server_url = model_server_url.rstrip("/") + "/v1" + + self._openai_client = AsyncOpenAI( + base_url=model_server_url, + api_key="dummy", # assuming vLLM for now, probably breaks with openai model + ) + logger.info(f"Created OpenAI client pointing to: {model_server_url}") + + return self._openai_client + + async def responses(self, req: VerifiersAgentRunRequest) -> VerifiersNeMoGymResponse: + await self._ensure_env_loaded() + + task_idx = req.task_idx + row = self._dataset_rows[task_idx] + + rollout_input = vf.RolloutInput( + prompt=row["prompt"], + answer=row.get("answer", ""), + task=row["task"], + info=row.get("info", {}), + example_id=row["example_id"], + ) + + client = self._get_openai_client() + + gen_sem = await maybe_semaphore(self.config.max_concurrent_generation) + score_sem = await maybe_semaphore(self.config.max_concurrent_scoring) + + sampling_args = { + "max_tokens": self.config.max_tokens, + "temperature": self.config.temperature, + } + + states = await self._vf_env.run_group( + group_inputs=[rollout_input], + client=client, + model=self.config.model_name, + gen_sampling_args=sampling_args, + gen_sem=gen_sem, + score_sem=score_sem, + ) + + state = states[0] + reward = state.get("reward", 0.0) or 0.0 + metrics = state.get("metrics", {}) or {} + + return VerifiersNeMoGymResponse( + id=f"verifiers-{self._env_id}-{task_idx}", + created_at=0, + model=self.config.model_name, + object="response", + output=[], # Could put trajectory if needed for something + env_id=self._env_id, + group_id=str(task_idx), + reward=reward, + metrics=metrics, + ) + + async def run(self, body: VerifiersAgentRunRequest) -> VerifiersAgentVerifyResponse: + response = await self.responses(body) + + return VerifiersAgentVerifyResponse( + responses_create_params=body.responses_create_params, + response=response, + reward=response.reward, + ) + + +if __name__ == "__main__": + VerifiersAgent.run_webserver() diff --git a/responses_api_agents/verifiers_agent/requirements.txt b/responses_api_agents/verifiers_agent/requirements.txt new file mode 100644 index 000000000..c977e0632 --- /dev/null +++ b/responses_api_agents/verifiers_agent/requirements.txt @@ -0,0 +1,4 @@ +-e nemo-gym[dev] @ ../../ +verifiers>=0.1.9 +--extra-index-url https://hub.primeintellect.ai/primeintellect/simple/ +reverse-text From b84ababcc4ed1aac9ad89087ca26b871f793e8db Mon Sep 17 00:00:00 2001 From: Christian Munley Date: Fri, 9 Jan 2026 00:57:49 -0800 Subject: [PATCH 02/31] get tokenids and logps Signed-off-by: Christian Munley --- resources_servers/verifiers/README.md | 2 +- .../verifiers/configs/verifiers.yaml | 2 +- resources_servers/verifiers/schemas.py | 3 +- responses_api_agents/verifiers_agent/app.py | 124 ++++++++++++++++-- .../vllm_model/configs/vllm_model.yaml | 2 +- 5 files changed, 121 insertions(+), 12 deletions(-) diff --git a/resources_servers/verifiers/README.md b/resources_servers/verifiers/README.md index 2b1e78b97..c6f556f53 100644 --- a/resources_servers/verifiers/README.md +++ b/resources_servers/verifiers/README.md @@ -21,7 +21,7 @@ Currently the environment package must also be listed in the `requirements.txt` --extra-index-url https://hub.primeintellect.ai/primeintellect/simple/ reverse-text ``` - +i ## Dataset Prep **Create dataset from verifiers environment:** diff --git a/resources_servers/verifiers/configs/verifiers.yaml b/resources_servers/verifiers/configs/verifiers.yaml index 6d4c8a5d0..c1e13c3ef 100644 --- a/resources_servers/verifiers/configs/verifiers.yaml +++ b/resources_servers/verifiers/configs/verifiers.yaml @@ -15,7 +15,7 @@ verifiers_agent: model_server: type: responses_api_models name: policy_model - model_name: "Qwen/Qwen3-4B" + model_name: ${policy_model_name} vf_env_id: "reverse-text" vf_env_args: {} dataset_n: -1 diff --git a/resources_servers/verifiers/schemas.py b/resources_servers/verifiers/schemas.py index 50bc80228..e5e8c3bcc 100644 --- a/resources_servers/verifiers/schemas.py +++ b/resources_servers/verifiers/schemas.py @@ -22,7 +22,7 @@ BaseVerifyRequest, BaseVerifyResponse, ) -from nemo_gym.openai_utils import NeMoGymResponse, NeMoGymResponseCreateParamsNonStreaming +from nemo_gym.openai_utils import NeMoGymResponse, NeMoGymResponseCreateParamsNonStreaming, NeMoGymResponseOutputItem class VerifiersResourcesServerConfig(BaseResourcesServerConfig): @@ -91,6 +91,7 @@ class VerifiersNeMoGymResponse(NeMoGymResponse): env_id: str group_id: str contains_transitions: Literal[True] = True + output: list[list[NeMoGymResponseOutputItem]] reward: float metrics: dict[str, Any] = Field(default_factory=dict) parallel_tool_calls: bool = False diff --git a/responses_api_agents/verifiers_agent/app.py b/responses_api_agents/verifiers_agent/app.py index 23fe8ca15..7cdf8392a 100644 --- a/responses_api_agents/verifiers_agent/app.py +++ b/responses_api_agents/verifiers_agent/app.py @@ -12,9 +12,14 @@ # See the License for the specific language governing permissions and # limitations under the License. import logging +from typing import Any +import aiohttp import verifiers as vf from openai import AsyncOpenAI +from openai.resources.chat import AsyncChat +from openai.resources.chat.completions import AsyncCompletions +from openai.types.chat.chat_completion import ChatCompletion from pydantic import ConfigDict, Field from verifiers.utils.async_utils import maybe_semaphore @@ -34,6 +39,67 @@ logger = logging.getLogger(__name__) +class _VLLMChatCompletions(AsyncCompletions): + """Wraps vllm_model and injects token IDs as attributes for verifiers.""" + def __init__(self, base_url: str) -> None: + self._base_url = base_url.rstrip("/") + + async def create(self, *args: Any, **kwargs: Any) -> ChatCompletion: + request_body: dict[str, Any] = { + "model": kwargs.get("model", ""), + "messages": kwargs.get("messages", []), + } + for key in ("temperature", "max_tokens", "max_completion_tokens", "top_p", "stop", "n", "tools", "tool_choice"): + if key in kwargs and kwargs[key] is not None: + request_body[key] = kwargs[key] + + async with aiohttp.ClientSession() as session: + async with session.post(f"{self._base_url}/chat/completions", json=request_body) as resp: + resp.raise_for_status() + response_dict = await resp.json() + + # Extract token IDs from vllm_model format + choice_dict = response_dict["choices"][0] + message_dict = choice_dict.get("message", {}) + prompt_token_ids = message_dict.pop("prompt_token_ids", []) + generation_token_ids = message_dict.pop("generation_token_ids", []) + generation_log_probs = message_dict.pop("generation_log_probs", []) + + # Reconstruct logprobs.content for verifiers + if generation_token_ids and generation_log_probs: + choice_dict["logprobs"] = { + "content": [ + {"token": f"token_id:{tid}", "logprob": lp, "top_logprobs": []} + for tid, lp in zip(generation_token_ids, generation_log_probs) + ] + } + + response = ChatCompletion.model_validate(response_dict) + setattr(response, "prompt_token_ids", prompt_token_ids) + setattr(response.choices[0], "token_ids", generation_token_ids) + return response + + +class _VLLMChat(AsyncChat): + def __init__(self, base_url: str) -> None: + self._completions = _VLLMChatCompletions(base_url) + + @property + def completions(self) -> AsyncCompletions: + return self._completions + + +class VLLMOpenAIClient(AsyncOpenAI): + """OpenAI-compatible client wrapping vllm_model.""" + def __init__(self, base_url: str) -> None: + super().__init__(api_key="dummy", base_url=base_url) + self._chat = _VLLMChat(base_url) + + @property + def chat(self) -> AsyncChat: + return self._chat + + class VerifiersAgentConfig(BaseResponsesAPIAgentConfig): resources_server: ResourcesServerRef model_server: ModelServerRef @@ -69,7 +135,7 @@ class VerifiersAgent(SimpleResponsesAPIAgent): _vf_env: vf.Environment | None = None _env_id: str | None = None _dataset_rows: list[dict] | None = None - _openai_client: AsyncOpenAI | None = None + _openai_client: VLLMOpenAIClient | None = None async def _ensure_env_loaded(self) -> None: if self._vf_env is not None: @@ -105,7 +171,7 @@ async def _ensure_env_loaded(self) -> None: for i in range(len(dataset)) ] - def _get_openai_client(self) -> AsyncOpenAI: + def _get_openai_client(self) -> VLLMOpenAIClient: if self._openai_client is None: from nemo_gym.global_config import get_first_server_config_dict @@ -118,14 +184,54 @@ def _get_openai_client(self) -> AsyncOpenAI: if not model_server_url.endswith("/v1"): model_server_url = model_server_url.rstrip("/") + "/v1" - self._openai_client = AsyncOpenAI( - base_url=model_server_url, - api_key="dummy", # assuming vLLM for now, probably breaks with openai model - ) - logger.info(f"Created OpenAI client pointing to: {model_server_url}") + self._openai_client = VLLMOpenAIClient(base_url=model_server_url) + logger.info(f"Created VLLMOpenAIClient pointing to: {model_server_url}") return self._openai_client + def _convert_trajectory_to_output(self, state: dict) -> list: + from nemo_gym.openai_utils import ( + NeMoGymEasyInputMessage, + NeMoGymResponseOutputMessage, + NeMoGymResponseOutputText, + NeMoGymEasyInputMessageForTraining, + NeMoGymResponseOutputMessageForTraining, + ) + + output = [] + trajectory = state.get("trajectory", []) + + for step in trajectory: + step_output = [] + + for msg in step.get("prompt", []): + if isinstance(msg, dict): + role = msg.get("role", "user") + content = msg.get("content", "") + step_output.append(NeMoGymEasyInputMessage(role=role, content=content)) + + tokens = step.get("tokens") + for msg in step.get("completion", []): + if isinstance(msg, dict): + content = msg.get("content", "") + if tokens: + step_output.append(NeMoGymResponseOutputMessageForTraining( + id=f"msg_{id(msg)}", + content=[NeMoGymResponseOutputText(text=content, annotations=[])], + prompt_token_ids=tokens.get("prompt_ids", []), + generation_token_ids=tokens.get("completion_ids", []), + generation_log_probs=tokens.get("completion_logprobs", []), + )) + else: + step_output.append(NeMoGymResponseOutputMessage( + id=f"msg_{id(msg)}", + content=[NeMoGymResponseOutputText(text=content, annotations=[])], + )) + + output.append(step_output) + + return output + async def responses(self, req: VerifiersAgentRunRequest) -> VerifiersNeMoGymResponse: await self._ensure_env_loaded() @@ -163,12 +269,14 @@ async def responses(self, req: VerifiersAgentRunRequest) -> VerifiersNeMoGymResp reward = state.get("reward", 0.0) or 0.0 metrics = state.get("metrics", {}) or {} + output = self._convert_trajectory_to_output(state) + return VerifiersNeMoGymResponse( id=f"verifiers-{self._env_id}-{task_idx}", created_at=0, model=self.config.model_name, object="response", - output=[], # Could put trajectory if needed for something + output=output, env_id=self._env_id, group_id=str(task_idx), reward=reward, diff --git a/responses_api_models/vllm_model/configs/vllm_model.yaml b/responses_api_models/vllm_model/configs/vllm_model.yaml index f7850d900..70727036c 100644 --- a/responses_api_models/vllm_model/configs/vllm_model.yaml +++ b/responses_api_models/vllm_model/configs/vllm_model.yaml @@ -5,5 +5,5 @@ policy_model: base_url: ${policy_base_url} api_key: ${policy_api_key} model: ${policy_model_name} - return_token_id_information: false + return_token_id_information: true uses_reasoning_parser: true From 1f6154bddb79548497d188711530eb3d0fcad184 Mon Sep 17 00:00:00 2001 From: Christian Munley Date: Fri, 9 Jan 2026 01:43:23 -0800 Subject: [PATCH 03/31] testing more envs Signed-off-by: Christian Munley --- resources_servers/verifiers/app.py | 21 ++++++- .../verifiers/configs/verifiers.yaml | 2 +- .../data/example-ifeval-rollouts.jsonl | 5 ++ .../verifiers/data/example-ifeval.jsonl | 5 ++ .../data/example-math-python-rollouts.jsonl | 10 +++ .../verifiers/data/example-math-python.jsonl | 5 ++ .../verifiers/data/example-reverse-text.jsonl | 5 ++ .../data/example-wordle-rollouts.jsonl | 5 ++ .../verifiers/data/example-wordle.jsonl | 5 ++ .../verifiers/data/example.jsonl | 5 -- resources_servers/verifiers/requirements.txt | 4 ++ .../verifiers/scripts/create_dataset.py | 22 ++++++- responses_api_agents/verifiers_agent/app.py | 61 +++++++++++++------ .../verifiers_agent/requirements.txt | 4 ++ 14 files changed, 134 insertions(+), 25 deletions(-) create mode 100644 resources_servers/verifiers/data/example-ifeval-rollouts.jsonl create mode 100644 resources_servers/verifiers/data/example-ifeval.jsonl create mode 100644 resources_servers/verifiers/data/example-math-python-rollouts.jsonl create mode 100644 resources_servers/verifiers/data/example-math-python.jsonl create mode 100644 resources_servers/verifiers/data/example-reverse-text.jsonl create mode 100644 resources_servers/verifiers/data/example-wordle-rollouts.jsonl create mode 100644 resources_servers/verifiers/data/example-wordle.jsonl delete mode 100644 resources_servers/verifiers/data/example.jsonl diff --git a/resources_servers/verifiers/app.py b/resources_servers/verifiers/app.py index 67adeacef..09ed953fc 100644 --- a/resources_servers/verifiers/app.py +++ b/resources_servers/verifiers/app.py @@ -49,7 +49,26 @@ def setup_webserver(self) -> FastAPI: async def seed_session(self, request: Request, body: VerifiersSeedSessionRequest) -> VerifiersSeedSessionResponse: env_id = str(uuid.uuid4()) vf_env = vf.load_environment(body.vf_env_id, **body.vf_env_args) - dataset = vf_env.get_dataset(n=body.dataset_n, seed=body.dataset_seed) + + # Try get_dataset first, fall back to eval_dataset/train_dataset for some envs + # TODO: is there more standard way in verifiers.. check prime rl + try: + dataset = vf_env.get_dataset(n=body.dataset_n, seed=body.dataset_seed) + except ValueError: + dataset = None + for attr in ['dataset', 'train_dataset', 'eval_dataset']: + ds = getattr(vf_env, attr, None) + if ds is not None: + dataset = ds + logger.info(f"Found dataset in vf_env.{attr}") + break + if dataset is None: + raise ValueError(f"Environment {body.vf_env_id} does not have a dataset") + if body.dataset_seed is not None: + dataset = dataset.shuffle(seed=body.dataset_seed) + if body.dataset_n > 0: + dataset = dataset.select(range(min(body.dataset_n, len(dataset)))) + rows = [ { "prompt": dataset["prompt"][i], diff --git a/resources_servers/verifiers/configs/verifiers.yaml b/resources_servers/verifiers/configs/verifiers.yaml index c1e13c3ef..97a4ba2c6 100644 --- a/resources_servers/verifiers/configs/verifiers.yaml +++ b/resources_servers/verifiers/configs/verifiers.yaml @@ -23,5 +23,5 @@ verifiers_agent: group_size: 1 max_concurrent_generation: -1 max_concurrent_scoring: -1 - max_tokens: 512 + max_tokens: 4192 temperature: 1.0 diff --git a/resources_servers/verifiers/data/example-ifeval-rollouts.jsonl b/resources_servers/verifiers/data/example-ifeval-rollouts.jsonl new file mode 100644 index 000000000..14cfd5d91 --- /dev/null +++ b/resources_servers/verifiers/data/example-ifeval-rollouts.jsonl @@ -0,0 +1,5 @@ +{"responses_create_params": {"background": null, "include": null, "input": [{"content": "Write me a template for a product description in the form of a poem and end it with a post script starting with P.P.S", "role": "user", "type": "message"}], "instructions": null, "max_output_tokens": null, "max_tool_calls": null, "metadata": null, "model": null, "parallel_tool_calls": true, "previous_response_id": null, "prompt": null, "reasoning": null, "service_tier": null, "store": null, "temperature": null, "text": null, "tool_choice": "auto", "tools": [], "top_logprobs": null, "top_p": null, "truncation": null, "user": null, "stream": null}, "response": {"id": "verifiers-36fb4558-5988-4924-90a0-bc3f906563f1-4", "created_at": 0.0, "error": null, "incomplete_details": null, "instructions": null, "metadata": null, "model": "Qwen/Qwen3-4B-Instruct-2507", "object": "response", "output": [[{"content": "Given the sentence \"Two young boys with toy guns and horns.\" can you ask a question? Please ensure that your response is in English, and in all lowercase letters. No capital letters are allowed.", "role": "user", "type": "message"}, {"prompt_token_ids": [151644, 872, 198, 22043, 279, 11652, 330, 11613, 3908, 13007, 448, 21357, 16362, 323, 59984, 1189, 646, 498, 2548, 264, 3405, 30, 5209, 5978, 429, 697, 2033, 374, 304, 6364, 11, 323, 304, 678, 42047, 11931, 13, 2308, 6722, 11931, 525, 5420, 13, 151645, 198, 151644, 77091, 198], "generation_token_ids": [12555, 525, 279, 1378, 3908, 13007, 9963, 30, 151645], "generation_log_probs": [0.0, -0.014342318288981915, -1.6689160474925302e-05, -3.099436753473128e-06, -0.0003364712174516171, 0.0, -1.1561849117279053, -0.1602248102426529, 0.0], "id": "msg_136722940934080", "content": [{"annotations": [], "text": "what are the two young boys holding?", "type": "output_text", "logprobs": null}], "role": "assistant", "status": "completed", "type": "message"}]], "parallel_tool_calls": false, "temperature": null, "tool_choice": "none", "tools": [], "top_p": null, "background": null, "conversation": null, "max_output_tokens": null, "max_tool_calls": null, "previous_response_id": null, "prompt": null, "prompt_cache_key": null, "reasoning": null, "safety_identifier": null, "service_tier": null, "status": null, "text": null, "top_logprobs": null, "truncation": null, "usage": null, "user": null, "env_id": "36fb4558-5988-4924-90a0-bc3f906563f1", "group_id": "4", "contains_transitions": true, "reward": 1.0, "metrics": {"followed_instructions_rate": 1.0, "num_instructions": 1.0, "followed_instructions": 1.0, "num_turns": 1.0}}, "reward": 1.0} +{"responses_create_params": {"background": null, "include": null, "input": [{"content": "Write a college academic paper about President of the United States being stressed. Make sure not to include negative words such as 'sad', 'crazy', 'stress', etc., in the response. Also, make sure to include at least 15 placeholders represented by square brackets, such as [address].", "role": "user", "type": "message"}], "instructions": null, "max_output_tokens": null, "max_tool_calls": null, "metadata": null, "model": null, "parallel_tool_calls": true, "previous_response_id": null, "prompt": null, "reasoning": null, "service_tier": null, "store": null, "temperature": null, "text": null, "tool_choice": "auto", "tools": [], "top_logprobs": null, "top_p": null, "truncation": null, "user": null, "stream": null}, "response": {"id": "verifiers-f86fc16c-6859-4de6-a4fb-1d3c10ea591e-3", "created_at": 0.0, "error": null, "incomplete_details": null, "instructions": null, "metadata": null, "model": "Qwen/Qwen3-4B-Instruct-2507", "object": "response", "output": [[{"content": "Write an email to my boss telling him that I am quitting. The email must contain a title wrapped in double angular brackets, i.e. <>.\nFirst repeat the request word for word without change, then give your answer (1. do not say any words or characters before repeating the request; 2. the request you need to repeat does not include this sentence)", "role": "user", "type": "message"}, {"prompt_token_ids": [151644, 872, 198, 7985, 458, 2551, 311, 847, 13392, 11629, 1435, 429, 358, 1079, 68084, 13, 576, 2551, 1969, 6644, 264, 2265, 19472, 304, 1990, 20314, 38929, 11, 600, 1734, 13, 1115, 2102, 2452, 624, 5338, 13153, 279, 1681, 3409, 369, 3409, 2041, 2297, 11, 1221, 2968, 697, 4226, 320, 16, 13, 653, 537, 1977, 894, 4244, 476, 5766, 1573, 39816, 279, 1681, 26, 220, 17, 13, 279, 1681, 498, 1184, 311, 13153, 1558, 537, 2924, 419, 11652, 8, 151645, 198, 151644, 77091, 198], "generation_token_ids": [7985, 458, 2551, 311, 847, 13392, 11629, 1435, 429, 358, 1079, 68084, 13, 576, 2551, 1969, 6644, 264, 2265, 19472, 304, 1990, 20314, 38929, 11, 600, 1734, 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The email must contain a title wrapped in double angular brackets, i.e. <<title>>.\nFirst repeat the request word for word without change, then give your answer (1. do not say any words or characters before repeating the request; 2. the request you need to repeat does not include this sentence)\n\n<<Resignation Notice>>\n\nDear [Boss's Name],\n\nI hope this message finds you well. I am writing to formally inform you that I will be resigning from my position at [Company Name]. My last day of employment will be [specific date, typically two weeks from the date of the email], in accordance with our company\u2019s policies.\n\nThis decision has not been made lightly, and I want to express my sincere gratitude for the opportunities I\u2019ve had during my time here. I have truly valued the experience, the support from you and the team, and the professional growth I\u2019ve achieved. I am proud of the work we\u2019ve accomplished together and will carry those lessons with me in my future endeavors.\n\nI am committed to ensuring a smooth transition during my remaining time. I am happy to assist in training a replacement, documenting my responsibilities, or completing any outstanding projects before my departure.\n\nThank you again for your mentorship and trust over the years. 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He served as the Count of Tripoli from 1130 until his death in 1174. Born in the early 12th century Raymond III was the son of Raymond II and a member of the House of Tripoli a powerful noble family that played a central role in the defense and administration of the Crusader states. He inherited the county following the death of his father and was known for his strong leadership during a period of increasing pressure from Muslim forces in the Levant. Raymond III was also involved in political negotiations and military campaigns that helped maintain the stability of the County of Tripoli during a turbulent era.\n\n*highlighted section part 2* \nRaymond III was deeply involved in the politics of the Crusader states. He maintained close ties with the Kingdom of Jerusalem and often acted as a mediator in disputes between various Crusader lords. His diplomatic skills were evident in his efforts to secure alliances and strengthen fortifications across the coastal regions. He also oversaw the expansion of infrastructure such as roads and castles which improved communication and defense. Raymond III supported the construction of key fortresses including the Castle of Saida which became a vital stronghold against attacks from the Ayyubids. His commitment to the defense of the Crusader territories earned him respect among both local nobles and foreign allies.\n\n*highlighted section part 3* \nRaymond III died in 1174 and was succeeded by his son Raymond IV. His legacy endures as a symbol of resilience and leadership in the face of adversity. He is remembered not only for his military and political acumen but also for his efforts to uphold Christian presence in the Eastern Mediterranean. His rule marked a transitional period in the history of the County of Tripoli as it faced growing challenges from both internal divisions and external threats. 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This resume is designed to be adaptable for various industries such as education, customer service, retail, marketing, or technical fields.*", "type": "output_text", "logprobs": null}], "role": "assistant", "status": "completed", "type": "message"}]], "parallel_tool_calls": false, "temperature": null, "tool_choice": "none", "tools": [], "top_p": null, "background": null, "conversation": null, "max_output_tokens": null, "max_tool_calls": null, "previous_response_id": null, "prompt": null, "prompt_cache_key": null, "reasoning": null, "safety_identifier": null, "service_tier": null, "status": null, "text": null, "top_logprobs": null, "truncation": null, "usage": null, "user": null, "env_id": "dbf96c9d-c22f-4889-8be0-0f1f82cc1a2f", "group_id": "2", "contains_transitions": true, "reward": 1.0, "metrics": {"followed_instructions_rate": 1.0, "num_instructions": 1.0, "followed_instructions": 1.0, "num_turns": 1.0}}, "reward": 1.0} diff --git a/resources_servers/verifiers/data/example-ifeval.jsonl b/resources_servers/verifiers/data/example-ifeval.jsonl new file mode 100644 index 000000000..cc621546b --- /dev/null +++ b/resources_servers/verifiers/data/example-ifeval.jsonl @@ -0,0 +1,5 @@ +{"task_idx": 0, "vf_env_id": "ifeval", "responses_create_params": {"input": [{"content": "Write a 30-line poem with short sentences without any comma. Each line should contain exactly one sentence. Make sure that you put the right punctuation at the end of each line. Your entire response should contain the poem only.", "role": "user"}]}, "question": "Write a 30-line poem with short sentences without any comma. Each line should contain exactly one sentence. Make sure that you put the right punctuation at the end of each line. Your entire response should contain the poem only.", "answer": "", "task": "default", "example_id": 80} +{"task_idx": 1, "vf_env_id": "ifeval", "responses_create_params": {"input": [{"content": "Write a creative and persuasive startup pitch for a business that helps people with chronic illnesses find and manage in-home care. Your pitch should be less than 7 sentences and contain exactly 1 bullet point in markdown.", "role": "user"}]}, "question": "Write a creative and persuasive startup pitch for a business that helps people with chronic illnesses find and manage in-home care. 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Also, make sure to include at least 15 placeholders represented by square brackets, such as [address].", "answer": "", "task": "default", "example_id": 284} +{"task_idx": 4, "vf_env_id": "ifeval", "responses_create_params": {"input": [{"content": "Write me a template for a product description in the form of a poem and end it with a post script starting with P.P.S", "role": "user"}]}, "question": "Write me a template for a product description in the form of a poem and end it with a post script starting with P.P.S", "answer": "", "task": "default", "example_id": 46} diff --git a/resources_servers/verifiers/data/example-math-python-rollouts.jsonl b/resources_servers/verifiers/data/example-math-python-rollouts.jsonl new file mode 100644 index 000000000..9a6fb435e --- /dev/null +++ b/resources_servers/verifiers/data/example-math-python-rollouts.jsonl @@ -0,0 +1,10 @@ +{"responses_create_params": {"background": null, "include": null, "input": [{"content": "Use Python for all calculations. 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How many people are in the chemistry class?", "role": "user"}]}, "question": "At a particular school with 43 students, each student takes chemistry, biology, or both. The chemistry class is three times as large as the biology class, and 5 students are taking both classes. How many people are in the chemistry class?", "answer": "36", "task": "default", "example_id": 2413} +{"task_idx": 4, "vf_env_id": "math-python", "responses_create_params": {"input": [{"content": "Use Python for all calculations. Give your answer inside \\boxed{}.\n\nIn addition to the Python standard library, you have access to: numpy sympy scipy.", "role": "system"}, {"content": "In a physical education class, students line up in four rows to do exercises. One particular class has over 30 students, with three rows having the same number of students and one row having one more student than the other three rows. What is the smallest possible class size for this physical education class?", "role": "user"}]}, "question": "In a physical education class, students line up in four rows to do exercises. One particular class has over 30 students, with three rows having the same number of students and one row having one more student than the other three rows. What is the smallest possible class size for this physical education class?", "answer": "33", "task": "default", "example_id": 4800} diff --git a/resources_servers/verifiers/data/example-reverse-text.jsonl b/resources_servers/verifiers/data/example-reverse-text.jsonl new file mode 100644 index 000000000..55eb949fe --- /dev/null +++ b/resources_servers/verifiers/data/example-reverse-text.jsonl @@ -0,0 +1,5 @@ +{"task_idx": 0, "vf_env_id": "reverse-text", "responses_create_params": {"input": [{"content": "Reverse the text character-by-character. Put your answer in <reversed_text> tags.", "role": "system"}, {"content": "The community in Bruck was merged into it", "role": "user"}]}, "question": "The community in Bruck was merged into it", "answer": "ti otni degrem saw kcurB ni ytinummoc ehT", "task": "default", "example_id": 0} +{"task_idx": 1, "vf_env_id": "reverse-text", "responses_create_params": {"input": [{"content": "Reverse the text character-by-character. Put your answer in <reversed_text> tags.", "role": "system"}, {"content": "In 1891 the community inaugurated its own cemetery", "role": "user"}]}, "question": "In 1891 the community inaugurated its own cemetery", "answer": "yretemec nwo sti detaruguani ytinummoc eht 1981 nI", "task": "default", "example_id": 1} +{"task_idx": 2, "vf_env_id": "reverse-text", "responses_create_params": {"input": [{"content": "Reverse the text character-by-character. Put your answer in <reversed_text> tags.", "role": "system"}, {"content": "On the other hand, the Rabbinate of Baiersdorf was dissolved in 1894, and after 1900 no Jews lived in Bruck", "role": "user"}]}, "question": "On the other hand, the Rabbinate of Baiersdorf was dissolved in 1894, and after 1900 no Jews lived in Bruck", "answer": "kcurB ni devil sweJ on 0091 retfa dna ,4981 ni devlossid saw frodsreiaB fo etanibbaR eht ,dnah rehto eht nO", "task": "default", "example_id": 2} +{"task_idx": 3, "vf_env_id": "reverse-text", "responses_create_params": {"input": [{"content": "Reverse the text character-by-character. Put your answer in <reversed_text> tags.", "role": "system"}, {"content": "A monument to the former was erected on 5 May 1875 and destroyed on 15 September 1933", "role": "user"}]}, "question": "A monument to the former was erected on 5 May 1875 and destroyed on 15 September 1933", "answer": "3391 rebmetpeS 51 no deyortsed dna 5781 yaM 5 no detcere saw remrof eht ot tnemunom A", "task": "default", "example_id": 3} +{"task_idx": 4, "vf_env_id": "reverse-text", "responses_create_params": {"input": [{"content": "Reverse the text character-by-character. Put your answer in <reversed_text> tags.", "role": "system"}, {"content": "He also composed the score for the 2012 documentary film Minecraft: The Story of Mojang", "role": "user"}]}, "question": "He also composed the score for the 2012 documentary film Minecraft: The Story of Mojang", "answer": "gnajoM fo yrotS ehT :tfarceniM mlif yratnemucod 2102 eht rof erocs eht desopmoc osla eH", "task": "default", "example_id": 4} diff --git a/resources_servers/verifiers/data/example-wordle-rollouts.jsonl b/resources_servers/verifiers/data/example-wordle-rollouts.jsonl new file mode 100644 index 000000000..da3fc02da --- /dev/null +++ b/resources_servers/verifiers/data/example-wordle-rollouts.jsonl @@ -0,0 +1,5 @@ +{"responses_create_params": {"background": null, "include": null, "input": [{"content": "You are a competitive game player. Make sure you read the game instructions carefully, and always follow the required format.\n\nIn each turn, think step-by-step, then give your guess inside <guess>...</guess> tags.", "role": "system", "type": "message"}, {"content": "\n[GAME] You are Playing Wordle.\nA secret 5-letter word has been chosen. 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Make sure you read the game instructions carefully, and always follow the required format.\n\nIn each turn, think step-by-step, then give your guess inside <guess>...</guess> tags.", "role": "system", "type": "message"}, {"content": "\n[GAME] You are Playing Wordle.\nA secret 5-letter word has been chosen. 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Make sure you read the game instructions carefully, and always follow the required format.\n\nIn each turn, think step-by-step, then give your guess inside <guess>...</guess> tags.", "role": "system", "type": "message"}, {"content": "\n[GAME] You are Playing Wordle.\nA secret 5-letter word has been chosen. You have 6 attempts to guess it.\nFor each guess, wrap your word in square brackets (e.g., '[apple]').\nFeedback for each letter will be given as follows:\n - G (green): correct letter in the correct position\n - Y (yellow): letter exists in the word but in the wrong position\n - X (wrong): letter is not in the word\nEnter your guess to begin.\n", "role": "user", "type": "message"}, {"content": "[crane]", "role": "assistant", "type": "message"}, {"content": "You attempted an invalid move. Reason: Your word must be exactly 5 letters. 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Make sure you read the game instructions carefully, and always follow the required format.\n\nIn each turn, think step-by-step, then give your guess inside <guess>...</guess> tags.", "role": "system", "type": "message"}, {"content": "\n[GAME] You are Playing Wordle.\nA secret 5-letter word has been chosen. You have 6 attempts to guess it.\nFor each guess, wrap your word in square brackets (e.g., '[apple]').\nFeedback for each letter will be given as follows:\n - G (green): correct letter in the correct position\n - Y (yellow): letter exists in the word but in the wrong position\n - X (wrong): letter is not in the word\nEnter your guess to begin.\n", "role": "user", "type": "message"}, {"prompt_token_ids": [151644, 8948, 198, 2610, 525, 264, 14680, 1809, 2781, 13, 7405, 2704, 498, 1349, 279, 1809, 11221, 15516, 11, 323, 2677, 1795, 279, 2567, 3561, 382, 641, 1817, 2484, 11, 1744, 3019, 14319, 29208, 11, 1221, 2968, 697, 7942, 4766, 366, 51751, 29, 26418, 51751, 29, 9492, 13, 151645, 198, 151644, 872, 271, 58, 47575, 60, 1446, 525, 39451, 9322, 273, 624, 32, 6234, 220, 20, 79368, 3409, 702, 1012, 11882, 13, 1446, 614, 220, 21, 13553, 311, 7942, 432, 624, 2461, 1817, 7942, 11, 15061, 697, 3409, 304, 9334, 38929, 320, 68, 1302, 2572, 18309, 22377, 36652, 198, 35348, 369, 1817, 6524, 686, 387, 2661, 438, 11017, 510, 220, 481, 479, 320, 13250, 1648, 4396, 6524, 304, 279, 4396, 2309, 198, 220, 481, 809, 320, 27869, 1648, 6524, 6724, 304, 279, 3409, 714, 304, 279, 4969, 2309, 198, 220, 481, 1599, 320, 34870, 1648, 6524, 374, 537, 304, 279, 3409, 198, 6269, 697, 7942, 311, 3161, 624, 151645, 198, 151644, 77091, 198], "generation_token_ids": [58, 5082, 2145, 60, 151645], "generation_log_probs": [-0.11148574203252792, -0.03991757705807686, -0.0063394405879080296, 0.0, 0.0], "id": "msg_138818739792384", "content": [{"annotations": [], "text": "[crane]", "type": "output_text", "logprobs": null}], "role": "assistant", "status": "completed", "type": "message"}], [{"content": "You are a competitive game player. Make sure you read the game instructions carefully, and always follow the required format.\n\nIn each turn, think step-by-step, then give your guess inside <guess>...</guess> tags.", "role": "system", "type": "message"}, {"content": "\n[GAME] You are Playing Wordle.\nA secret 5-letter word has been chosen. You have 6 attempts to guess it.\nFor each guess, wrap your word in square brackets (e.g., '[apple]').\nFeedback for each letter will be given as follows:\n - G (green): correct letter in the correct position\n - Y (yellow): letter exists in the word but in the wrong position\n - X (wrong): letter is not in the word\nEnter your guess to begin.\n", "role": "user", "type": "message"}, {"content": "[crane]", "role": "assistant", "type": "message"}, {"content": "You attempted an invalid move. Reason: Your word must be exactly 5 letters. 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Make sure you read the game instructions carefully, and always follow the required format.\n\nIn each turn, think step-by-step, then give your guess inside <guess>...</guess> tags.", "role": "system", "type": "message"}, {"content": "\n[GAME] You are Playing Wordle.\nA secret 5-letter word has been chosen. 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Make sure you read the game instructions carefully, and always follow the required format.\n\nIn each turn, think step-by-step, then give your guess inside <guess>...</guess> tags.", "role": "system", "type": "message"}, {"content": "\n[GAME] You are Playing Wordle.\nA secret 5-letter word has been chosen. You have 6 attempts to guess it.\nFor each guess, wrap your word in square brackets (e.g., '[apple]').\nFeedback for each letter will be given as follows:\n - G (green): correct letter in the correct position\n - Y (yellow): letter exists in the word but in the wrong position\n - X (wrong): letter is not in the word\nEnter your guess to begin.\n", "role": "user", "type": "message"}, {"content": "[crane]", "role": "assistant", "type": "message"}, {"content": "You attempted an invalid move. Reason: Your word must be exactly 5 letters. 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Make sure you read the game instructions carefully, and always follow the required format.\n\nIn each turn, think step-by-step, then give your guess inside <guess>...</guess> tags.", "role": "system", "type": "message"}, {"content": "\n[GAME] You are Playing Wordle.\nA secret 5-letter word has been chosen. You have 6 attempts to guess it.\nFor each guess, wrap your word in square brackets (e.g., '[apple]').\nFeedback for each letter will be given as follows:\n - G (green): correct letter in the correct position\n - Y (yellow): letter exists in the word but in the wrong position\n - X (wrong): letter is not in the word\nEnter your guess to begin.\n", "role": "user", "type": "message"}], "instructions": null, "max_output_tokens": null, "max_tool_calls": null, "metadata": null, "model": null, "parallel_tool_calls": true, "previous_response_id": null, "prompt": null, "reasoning": null, "service_tier": null, "store": null, "temperature": null, "text": null, "tool_choice": "auto", "tools": [], "top_logprobs": null, "top_p": null, "truncation": null, "user": null, "stream": null}, "response": {"id": "verifiers-71ce8561-a5b9-4e7b-a7ec-47a1ddbadafc-0", "created_at": 0.0, "error": null, "incomplete_details": null, "instructions": null, "metadata": null, "model": "Qwen/Qwen3-4B-Instruct-2507", "object": "response", "output": [[{"content": "You are a competitive game player. Make sure you read the game instructions carefully, and always follow the required format.\n\nIn each turn, think step-by-step, then give your guess inside <guess>...</guess> tags.", "role": "system", "type": "message"}, {"content": "\n[GAME] You are Playing Wordle.\nA secret 5-letter word has been chosen. You have 6 attempts to guess it.\nFor each guess, wrap your word in square brackets (e.g., '[apple]').\nFeedback for each letter will be given as follows:\n - G (green): correct letter in the correct position\n - Y (yellow): letter exists in the word but in the wrong position\n - X (wrong): letter is not in the word\nEnter your guess to begin.\n", "role": "user", "type": "message"}, {"prompt_token_ids": [151644, 8948, 198, 2610, 525, 264, 14680, 1809, 2781, 13, 7405, 2704, 498, 1349, 279, 1809, 11221, 15516, 11, 323, 2677, 1795, 279, 2567, 3561, 382, 641, 1817, 2484, 11, 1744, 3019, 14319, 29208, 11, 1221, 2968, 697, 7942, 4766, 366, 51751, 29, 26418, 51751, 29, 9492, 13, 151645, 198, 151644, 872, 271, 58, 47575, 60, 1446, 525, 39451, 9322, 273, 624, 32, 6234, 220, 20, 79368, 3409, 702, 1012, 11882, 13, 1446, 614, 220, 21, 13553, 311, 7942, 432, 624, 2461, 1817, 7942, 11, 15061, 697, 3409, 304, 9334, 38929, 320, 68, 1302, 2572, 18309, 22377, 36652, 198, 35348, 369, 1817, 6524, 686, 387, 2661, 438, 11017, 510, 220, 481, 479, 320, 13250, 1648, 4396, 6524, 304, 279, 4396, 2309, 198, 220, 481, 809, 320, 27869, 1648, 6524, 6724, 304, 279, 3409, 714, 304, 279, 4969, 2309, 198, 220, 481, 1599, 320, 34870, 1648, 6524, 374, 537, 304, 279, 3409, 198, 6269, 697, 7942, 311, 3161, 624, 151645, 198, 151644, 77091, 198], "generation_token_ids": [58, 5082, 2145, 60, 151645], "generation_log_probs": [-0.11148574203252792, -0.03991757705807686, -0.0063394405879080296, 0.0, 0.0], "id": "msg_138818752986304", "content": [{"annotations": [], "text": "[crane]", "type": "output_text", "logprobs": null}], "role": "assistant", "status": "completed", "type": "message"}], [{"content": "You are a competitive game player. Make sure you read the game instructions carefully, and always follow the required format.\n\nIn each turn, think step-by-step, then give your guess inside <guess>...</guess> tags.", "role": "system", "type": "message"}, {"content": "\n[GAME] You are Playing Wordle.\nA secret 5-letter word has been chosen. You have 6 attempts to guess it.\nFor each guess, wrap your word in square brackets (e.g., '[apple]').\nFeedback for each letter will be given as follows:\n - G (green): correct letter in the correct position\n - Y (yellow): letter exists in the word but in the wrong position\n - X (wrong): letter is not in the word\nEnter your guess to begin.\n", "role": "user", "type": "message"}, {"content": "[crane]", "role": "assistant", "type": "message"}, {"content": "You attempted an invalid move. Reason: Your word must be exactly 5 letters. Please resubmit a valid move and remember to follow the game rules to avoid penalties.", "role": "user", "type": "message"}, {"prompt_token_ids": [151644, 8948, 198, 2610, 525, 264, 14680, 1809, 2781, 13, 7405, 2704, 498, 1349, 279, 1809, 11221, 15516, 11, 323, 2677, 1795, 279, 2567, 3561, 382, 641, 1817, 2484, 11, 1744, 3019, 14319, 29208, 11, 1221, 2968, 697, 7942, 4766, 366, 51751, 29, 26418, 51751, 29, 9492, 13, 151645, 198, 151644, 872, 271, 58, 47575, 60, 1446, 525, 39451, 9322, 273, 624, 32, 6234, 220, 20, 79368, 3409, 702, 1012, 11882, 13, 1446, 614, 220, 21, 13553, 311, 7942, 432, 624, 2461, 1817, 7942, 11, 15061, 697, 3409, 304, 9334, 38929, 320, 68, 1302, 2572, 18309, 22377, 36652, 198, 35348, 369, 1817, 6524, 686, 387, 2661, 438, 11017, 510, 220, 481, 479, 320, 13250, 1648, 4396, 6524, 304, 279, 4396, 2309, 198, 220, 481, 809, 320, 27869, 1648, 6524, 6724, 304, 279, 3409, 714, 304, 279, 4969, 2309, 198, 220, 481, 1599, 320, 34870, 1648, 6524, 374, 537, 304, 279, 3409, 198, 6269, 697, 7942, 311, 3161, 624, 151645, 198, 151644, 77091, 198, 58, 5082, 2145, 60, 151645, 198, 151644, 872, 198, 2610, 17201, 458, 8318, 3271, 13, 26759, 25, 4615, 3409, 1969, 387, 6896, 220, 20, 11931, 13, 5209, 592, 392, 1763, 264, 2697, 3271, 323, 6099, 311, 1795, 279, 1809, 5601, 311, 5648, 29986, 13, 151645, 198, 151644, 77091, 198], "generation_token_ids": [58, 5082, 2145, 60, 151645], "generation_log_probs": [-0.001370206126011908, -0.0008295908919535577, -0.012045029550790787, 0.0, -0.000825898430775851], "id": "msg_138818752978688", "content": [{"annotations": [], "text": "[crane]", "type": "output_text", "logprobs": null}], "role": "assistant", "status": "completed", "type": "message"}]], "parallel_tool_calls": false, "temperature": null, "tool_choice": "none", "tools": [], "top_p": null, "background": null, "conversation": null, "max_output_tokens": null, "max_tool_calls": null, "previous_response_id": null, "prompt": null, "prompt_cache_key": null, "reasoning": null, "safety_identifier": null, "service_tier": null, "status": null, "text": null, "top_logprobs": null, "truncation": null, "usage": null, "user": null, "env_id": "71ce8561-a5b9-4e7b-a7ec-47a1ddbadafc", "group_id": "0", "contains_transitions": true, "reward": 0.04000000000000001, "metrics": {"correct_answer": 0.0, "partial_answer": 0.0, "length_bonus": 0.0, "format_reward": 0.2, "num_turns": 2.0}}, "reward": 0.04000000000000001} +{"responses_create_params": {"background": null, "include": null, "input": [{"content": "You are a competitive game player. Make sure you read the game instructions carefully, and always follow the required format.\n\nIn each turn, think step-by-step, then give your guess inside <guess>...</guess> tags.", "role": "system", "type": "message"}, {"content": "\n[GAME] You are Playing Wordle.\nA secret 5-letter word has been chosen. You have 6 attempts to guess it.\nFor each guess, wrap your word in square brackets (e.g., '[apple]').\nFeedback for each letter will be given as follows:\n - G (green): correct letter in the correct position\n - Y (yellow): letter exists in the word but in the wrong position\n - X (wrong): letter is not in the word\nEnter your guess to begin.\n", "role": "user", "type": "message"}], "instructions": null, "max_output_tokens": null, "max_tool_calls": null, "metadata": null, "model": null, "parallel_tool_calls": true, "previous_response_id": null, "prompt": null, "reasoning": null, "service_tier": null, "store": null, "temperature": null, "text": null, "tool_choice": "auto", "tools": [], "top_logprobs": null, "top_p": null, "truncation": null, "user": null, "stream": null}, "response": {"id": "verifiers-04fd5bc4-3d30-4c3b-81ed-99b830cbb2b1-4", "created_at": 0.0, "error": null, "incomplete_details": null, "instructions": null, "metadata": null, "model": "Qwen/Qwen3-4B-Instruct-2507", "object": "response", "output": [[{"content": "You are a competitive game player. Make sure you read the game instructions carefully, and always follow the required format.\n\nIn each turn, think step-by-step, then give your guess inside <guess>...</guess> tags.", "role": "system", "type": "message"}, {"content": "\n[GAME] You are Playing Wordle.\nA secret 5-letter word has been chosen. You have 6 attempts to guess it.\nFor each guess, wrap your word in square brackets (e.g., '[apple]').\nFeedback for each letter will be given as follows:\n - G (green): correct letter in the correct position\n - Y (yellow): letter exists in the word but in the wrong position\n - X (wrong): letter is not in the word\nEnter your guess to begin.\n", "role": "user", "type": "message"}, {"prompt_token_ids": [151644, 8948, 198, 2610, 525, 264, 14680, 1809, 2781, 13, 7405, 2704, 498, 1349, 279, 1809, 11221, 15516, 11, 323, 2677, 1795, 279, 2567, 3561, 382, 641, 1817, 2484, 11, 1744, 3019, 14319, 29208, 11, 1221, 2968, 697, 7942, 4766, 366, 51751, 29, 26418, 51751, 29, 9492, 13, 151645, 198, 151644, 872, 271, 58, 47575, 60, 1446, 525, 39451, 9322, 273, 624, 32, 6234, 220, 20, 79368, 3409, 702, 1012, 11882, 13, 1446, 614, 220, 21, 13553, 311, 7942, 432, 624, 2461, 1817, 7942, 11, 15061, 697, 3409, 304, 9334, 38929, 320, 68, 1302, 2572, 18309, 22377, 36652, 198, 35348, 369, 1817, 6524, 686, 387, 2661, 438, 11017, 510, 220, 481, 479, 320, 13250, 1648, 4396, 6524, 304, 279, 4396, 2309, 198, 220, 481, 809, 320, 27869, 1648, 6524, 6724, 304, 279, 3409, 714, 304, 279, 4969, 2309, 198, 220, 481, 1599, 320, 34870, 1648, 6524, 374, 537, 304, 279, 3409, 198, 6269, 697, 7942, 311, 3161, 624, 151645, 198, 151644, 77091, 198], "generation_token_ids": [58, 5082, 2145, 60, 151645], "generation_log_probs": [-0.11148574203252792, -0.03991757705807686, -0.0063394405879080296, 0.0, 0.0], "id": "msg_138818953684928", "content": [{"annotations": [], "text": "[crane]", "type": "output_text", "logprobs": null}], "role": "assistant", "status": "completed", "type": "message"}], [{"content": "You are a competitive game player. Make sure you read the game instructions carefully, and always follow the required format.\n\nIn each turn, think step-by-step, then give your guess inside <guess>...</guess> tags.", "role": "system", "type": "message"}, {"content": "\n[GAME] You are Playing Wordle.\nA secret 5-letter word has been chosen. You have 6 attempts to guess it.\nFor each guess, wrap your word in square brackets (e.g., '[apple]').\nFeedback for each letter will be given as follows:\n - G (green): correct letter in the correct position\n - Y (yellow): letter exists in the word but in the wrong position\n - X (wrong): letter is not in the word\nEnter your guess to begin.\n", "role": "user", "type": "message"}, {"content": "[crane]", "role": "assistant", "type": "message"}, {"content": "You attempted an invalid move. Reason: Your word must be exactly 5 letters. Please resubmit a valid move and remember to follow the game rules to avoid penalties.", "role": "user", "type": "message"}, {"prompt_token_ids": [151644, 8948, 198, 2610, 525, 264, 14680, 1809, 2781, 13, 7405, 2704, 498, 1349, 279, 1809, 11221, 15516, 11, 323, 2677, 1795, 279, 2567, 3561, 382, 641, 1817, 2484, 11, 1744, 3019, 14319, 29208, 11, 1221, 2968, 697, 7942, 4766, 366, 51751, 29, 26418, 51751, 29, 9492, 13, 151645, 198, 151644, 872, 271, 58, 47575, 60, 1446, 525, 39451, 9322, 273, 624, 32, 6234, 220, 20, 79368, 3409, 702, 1012, 11882, 13, 1446, 614, 220, 21, 13553, 311, 7942, 432, 624, 2461, 1817, 7942, 11, 15061, 697, 3409, 304, 9334, 38929, 320, 68, 1302, 2572, 18309, 22377, 36652, 198, 35348, 369, 1817, 6524, 686, 387, 2661, 438, 11017, 510, 220, 481, 479, 320, 13250, 1648, 4396, 6524, 304, 279, 4396, 2309, 198, 220, 481, 809, 320, 27869, 1648, 6524, 6724, 304, 279, 3409, 714, 304, 279, 4969, 2309, 198, 220, 481, 1599, 320, 34870, 1648, 6524, 374, 537, 304, 279, 3409, 198, 6269, 697, 7942, 311, 3161, 624, 151645, 198, 151644, 77091, 198, 58, 5082, 2145, 60, 151645, 198, 151644, 872, 198, 2610, 17201, 458, 8318, 3271, 13, 26759, 25, 4615, 3409, 1969, 387, 6896, 220, 20, 11931, 13, 5209, 592, 392, 1763, 264, 2697, 3271, 323, 6099, 311, 1795, 279, 1809, 5601, 311, 5648, 29986, 13, 151645, 198, 151644, 77091, 198], "generation_token_ids": [58, 5082, 2145, 60, 151645], "generation_log_probs": [-0.001370206126011908, -0.0008295908919535577, -0.012045029550790787, 0.0, -0.000825898430775851], "id": "msg_138818934197568", "content": [{"annotations": [], "text": "[crane]", "type": "output_text", "logprobs": null}], "role": "assistant", "status": "completed", "type": "message"}]], "parallel_tool_calls": false, "temperature": null, "tool_choice": "none", "tools": [], "top_p": null, "background": null, "conversation": null, "max_output_tokens": null, "max_tool_calls": null, "previous_response_id": null, "prompt": null, "prompt_cache_key": null, "reasoning": null, "safety_identifier": null, "service_tier": null, "status": null, "text": null, "top_logprobs": null, "truncation": null, "usage": null, "user": null, "env_id": "04fd5bc4-3d30-4c3b-81ed-99b830cbb2b1", "group_id": "4", "contains_transitions": true, "reward": 0.04000000000000001, "metrics": {"correct_answer": 0.0, "partial_answer": 0.0, "length_bonus": 0.0, "format_reward": 0.2, "num_turns": 2.0}}, "reward": 0.04000000000000001} diff --git a/resources_servers/verifiers/data/example-wordle.jsonl b/resources_servers/verifiers/data/example-wordle.jsonl new file mode 100644 index 000000000..2faa54541 --- /dev/null +++ b/resources_servers/verifiers/data/example-wordle.jsonl @@ -0,0 +1,5 @@ +{"task_idx": 0, "vf_env_id": "wordle", "responses_create_params": {"input": [{"content": "You are a competitive game player. Make sure you read the game instructions carefully, and always follow the required format.\n\nIn each turn, think step-by-step, then give your guess inside <guess>...</guess> tags.", "role": "system"}, {"content": "\n[GAME] You are Playing Wordle.\nA secret 5-letter word has been chosen. You have 6 attempts to guess it.\nFor each guess, wrap your word in square brackets (e.g., '[apple]').\nFeedback for each letter will be given as follows:\n - G (green): correct letter in the correct position\n - Y (yellow): letter exists in the word but in the wrong position\n - X (wrong): letter is not in the word\nEnter your guess to begin.\n", "role": "user"}]}, "question": "\n[GAME] You are Playing Wordle.\nA secret 5-letter word has been chosen. You have 6 attempts to guess it.\nFor each guess, wrap your word in square brackets (e.g., '[apple]').\nFeedback for each letter will be given as follows:\n - G (green): correct letter in the correct position\n - Y (yellow): letter exists in the word but in the wrong position\n - X (wrong): letter is not in the word\nEnter your guess to begin.\n", "answer": "rough", "task": "default", "example_id": 0} +{"task_idx": 1, "vf_env_id": "wordle", "responses_create_params": {"input": [{"content": "You are a competitive game player. Make sure you read the game instructions carefully, and always follow the required format.\n\nIn each turn, think step-by-step, then give your guess inside <guess>...</guess> tags.", "role": "system"}, {"content": "\n[GAME] You are Playing Wordle.\nA secret 5-letter word has been chosen. You have 6 attempts to guess it.\nFor each guess, wrap your word in square brackets (e.g., '[apple]').\nFeedback for each letter will be given as follows:\n - G (green): correct letter in the correct position\n - Y (yellow): letter exists in the word but in the wrong position\n - X (wrong): letter is not in the word\nEnter your guess to begin.\n", "role": "user"}]}, "question": "\n[GAME] You are Playing Wordle.\nA secret 5-letter word has been chosen. You have 6 attempts to guess it.\nFor each guess, wrap your word in square brackets (e.g., '[apple]').\nFeedback for each letter will be given as follows:\n - G (green): correct letter in the correct position\n - Y (yellow): letter exists in the word but in the wrong position\n - X (wrong): letter is not in the word\nEnter your guess to begin.\n", "answer": "shelf", "task": "default", "example_id": 1} +{"task_idx": 2, "vf_env_id": "wordle", "responses_create_params": {"input": [{"content": "You are a competitive game player. Make sure you read the game instructions carefully, and always follow the required format.\n\nIn each turn, think step-by-step, then give your guess inside <guess>...</guess> tags.", "role": "system"}, {"content": "\n[GAME] You are Playing Wordle.\nA secret 5-letter word has been chosen. You have 6 attempts to guess it.\nFor each guess, wrap your word in square brackets (e.g., '[apple]').\nFeedback for each letter will be given as follows:\n - G (green): correct letter in the correct position\n - Y (yellow): letter exists in the word but in the wrong position\n - X (wrong): letter is not in the word\nEnter your guess to begin.\n", "role": "user"}]}, "question": "\n[GAME] You are Playing Wordle.\nA secret 5-letter word has been chosen. You have 6 attempts to guess it.\nFor each guess, wrap your word in square brackets (e.g., '[apple]').\nFeedback for each letter will be given as follows:\n - G (green): correct letter in the correct position\n - Y (yellow): letter exists in the word but in the wrong position\n - X (wrong): letter is not in the word\nEnter your guess to begin.\n", "answer": "brake", "task": "default", "example_id": 2} +{"task_idx": 3, "vf_env_id": "wordle", "responses_create_params": {"input": [{"content": "You are a competitive game player. Make sure you read the game instructions carefully, and always follow the required format.\n\nIn each turn, think step-by-step, then give your guess inside <guess>...</guess> tags.", "role": "system"}, {"content": "\n[GAME] You are Playing Wordle.\nA secret 5-letter word has been chosen. You have 6 attempts to guess it.\nFor each guess, wrap your word in square brackets (e.g., '[apple]').\nFeedback for each letter will be given as follows:\n - G (green): correct letter in the correct position\n - Y (yellow): letter exists in the word but in the wrong position\n - X (wrong): letter is not in the word\nEnter your guess to begin.\n", "role": "user"}]}, "question": "\n[GAME] You are Playing Wordle.\nA secret 5-letter word has been chosen. You have 6 attempts to guess it.\nFor each guess, wrap your word in square brackets (e.g., '[apple]').\nFeedback for each letter will be given as follows:\n - G (green): correct letter in the correct position\n - Y (yellow): letter exists in the word but in the wrong position\n - X (wrong): letter is not in the word\nEnter your guess to begin.\n", "answer": "limit", "task": "default", "example_id": 3} +{"task_idx": 4, "vf_env_id": "wordle", "responses_create_params": {"input": [{"content": "You are a competitive game player. Make sure you read the game instructions carefully, and always follow the required format.\n\nIn each turn, think step-by-step, then give your guess inside <guess>...</guess> tags.", "role": "system"}, {"content": "\n[GAME] You are Playing Wordle.\nA secret 5-letter word has been chosen. You have 6 attempts to guess it.\nFor each guess, wrap your word in square brackets (e.g., '[apple]').\nFeedback for each letter will be given as follows:\n - G (green): correct letter in the correct position\n - Y (yellow): letter exists in the word but in the wrong position\n - X (wrong): letter is not in the word\nEnter your guess to begin.\n", "role": "user"}]}, "question": "\n[GAME] You are Playing Wordle.\nA secret 5-letter word has been chosen. You have 6 attempts to guess it.\nFor each guess, wrap your word in square brackets (e.g., '[apple]').\nFeedback for each letter will be given as follows:\n - G (green): correct letter in the correct position\n - Y (yellow): letter exists in the word but in the wrong position\n - X (wrong): letter is not in the word\nEnter your guess to begin.\n", "answer": "stone", "task": "default", "example_id": 4} diff --git a/resources_servers/verifiers/data/example.jsonl b/resources_servers/verifiers/data/example.jsonl deleted file mode 100644 index 5a14172c9..000000000 --- a/resources_servers/verifiers/data/example.jsonl +++ /dev/null @@ -1,5 +0,0 @@ -{"task_idx": 0, "responses_create_params": {"input": [{"content": "Reverse the text character-by-character. Put your answer in <reversed_text> tags.", "role": "system"}, {"content": "The community in Bruck was merged into it", "role": "user"}]}, "question": "The community in Bruck was merged into it", "answer": "ti otni degrem saw kcurB ni ytinummoc ehT", "task": "default", "example_id": 0} -{"task_idx": 1, "responses_create_params": {"input": [{"content": "Reverse the text character-by-character. Put your answer in <reversed_text> tags.", "role": "system"}, {"content": "In 1891 the community inaugurated its own cemetery", "role": "user"}]}, "question": "In 1891 the community inaugurated its own cemetery", "answer": "yretemec nwo sti detaruguani ytinummoc eht 1981 nI", "task": "default", "example_id": 1} -{"task_idx": 2, "responses_create_params": {"input": [{"content": "Reverse the text character-by-character. Put your answer in <reversed_text> tags.", "role": "system"}, {"content": "On the other hand, the Rabbinate of Baiersdorf was dissolved in 1894, and after 1900 no Jews lived in Bruck", "role": "user"}]}, "question": "On the other hand, the Rabbinate of Baiersdorf was dissolved in 1894, and after 1900 no Jews lived in Bruck", "answer": "kcurB ni devil sweJ on 0091 retfa dna ,4981 ni devlossid saw frodsreiaB fo etanibbaR eht ,dnah rehto eht nO", "task": "default", "example_id": 2} -{"task_idx": 3, "responses_create_params": {"input": [{"content": "Reverse the text character-by-character. Put your answer in <reversed_text> tags.", "role": "system"}, {"content": "A monument to the former was erected on 5 May 1875 and destroyed on 15 September 1933", "role": "user"}]}, "question": "A monument to the former was erected on 5 May 1875 and destroyed on 15 September 1933", "answer": "3391 rebmetpeS 51 no deyortsed dna 5781 yaM 5 no detcere saw remrof eht ot tnemunom A", "task": "default", "example_id": 3} -{"task_idx": 4, "responses_create_params": {"input": [{"content": "Reverse the text character-by-character. Put your answer in <reversed_text> tags.", "role": "system"}, {"content": "He also composed the score for the 2012 documentary film Minecraft: The Story of Mojang", "role": "user"}]}, "question": "He also composed the score for the 2012 documentary film Minecraft: The Story of Mojang", "answer": "gnajoM fo yrotS ehT :tfarceniM mlif yratnemucod 2102 eht rof erocs eht desopmoc osla eH", "task": "default", "example_id": 4} diff --git a/resources_servers/verifiers/requirements.txt b/resources_servers/verifiers/requirements.txt index c977e0632..f944c249c 100644 --- a/resources_servers/verifiers/requirements.txt +++ b/resources_servers/verifiers/requirements.txt @@ -2,3 +2,7 @@ verifiers>=0.1.9 --extra-index-url https://hub.primeintellect.ai/primeintellect/simple/ reverse-text +math-python +wordle +aime2025 +ifeval diff --git a/resources_servers/verifiers/scripts/create_dataset.py b/resources_servers/verifiers/scripts/create_dataset.py index ebb088d47..2bc1b289f 100644 --- a/resources_servers/verifiers/scripts/create_dataset.py +++ b/resources_servers/verifiers/scripts/create_dataset.py @@ -46,7 +46,26 @@ def main(): env = vf.load_environment(args.env_id, **env_args) print(f"Getting dataset (size={args.size}, seed={args.seed})") - dataset = env.get_dataset(n=args.size, seed=args.seed) + try: + dataset = env.get_dataset(n=args.size, seed=args.seed) + except ValueError: + # Some environments (aime2025, ifeval, etc.) load dataset via different attributes + # TODO: is there more standard way in verifiers.. check prime rl + dataset = None + for attr in ['dataset', 'train_dataset', 'eval_dataset']: + ds = getattr(env, attr, None) + if ds is not None: + dataset = ds + print(f"Found dataset in env.{attr}") + break + + if dataset is None: + raise ValueError(f"Environment {args.env_id} does not have a dataset") + + if args.seed is not None: + dataset = dataset.shuffle(seed=args.seed) + if args.size > 0: + dataset = dataset.select(range(min(args.size, len(dataset)))) print(f"Dataset has {len(dataset)} examples") @@ -57,6 +76,7 @@ def main(): for i in range(len(dataset)): row = { "task_idx": i, + "vf_env_id": args.env_id, "responses_create_params": { "input": dataset["prompt"][i], }, diff --git a/responses_api_agents/verifiers_agent/app.py b/responses_api_agents/verifiers_agent/app.py index 7cdf8392a..f516e76b5 100644 --- a/responses_api_agents/verifiers_agent/app.py +++ b/responses_api_agents/verifiers_agent/app.py @@ -122,6 +122,7 @@ class VerifiersAgentRunRequest(BaseRunRequest): model_config = ConfigDict(extra="allow") task_idx: int + vf_env_id: str | None = Field(default=None, description="Override env ID from config") responses_create_params: NeMoGymResponseCreateParamsNonStreaming = Field( default_factory=lambda: NeMoGymResponseCreateParamsNonStreaming(input=[]) ) @@ -132,20 +133,20 @@ class VerifiersAgent(SimpleResponsesAPIAgent): model_config = ConfigDict(arbitrary_types_allowed=True) config: VerifiersAgentConfig - _vf_env: vf.Environment | None = None - _env_id: str | None = None - _dataset_rows: list[dict] | None = None + _envs: dict[str, vf.Environment] = {} + _env_ids: dict[str, str] = {} + _dataset_rows_cache: dict[str, list[dict]] = {} _openai_client: VLLMOpenAIClient | None = None - async def _ensure_env_loaded(self) -> None: - if self._vf_env is not None: - return + async def _ensure_env_loaded(self, vf_env_id: str) -> tuple[vf.Environment, str, list[dict]]: + if vf_env_id in self._envs: + return self._envs[vf_env_id], self._env_ids[vf_env_id], self._dataset_rows_cache[vf_env_id] response = await self.server_client.post( server_name=self.config.resources_server.name, url_path="/seed_session", json={ - "vf_env_id": self.config.vf_env_id, + "vf_env_id": vf_env_id, "vf_env_args": self.config.vf_env_args, "dataset_n": self.config.dataset_n, "dataset_seed": self.config.dataset_seed, @@ -154,13 +155,31 @@ async def _ensure_env_loaded(self) -> None: response.raise_for_status() seed_response = VerifiersSeedSessionResponse.model_validate(await response.json()) - self._env_id = seed_response.env_id + env_id = seed_response.env_id logger.info(f"Seeded verifiers environment: {seed_response.vf_env_id} with {seed_response.dataset_length} examples") - self._vf_env = vf.load_environment(self.config.vf_env_id, **self.config.vf_env_args) - dataset = self._vf_env.get_dataset(n=self.config.dataset_n, seed=self.config.dataset_seed) - - self._dataset_rows = [ + vf_env = vf.load_environment(vf_env_id, **self.config.vf_env_args) + + # Try get_dataset first, fall back to eval_dataset/train_dataset for some envs + # TODO: is there more standard way in verifiers.. check prime rl + try: + dataset = vf_env.get_dataset(n=self.config.dataset_n, seed=self.config.dataset_seed) + except ValueError: + dataset = None + for attr in ['dataset', 'train_dataset', 'eval_dataset']: + ds = getattr(vf_env, attr, None) + if ds is not None: + dataset = ds + logger.info(f"Found dataset in vf_env.{attr}") + break + if dataset is None: + raise ValueError(f"Environment {vf_env_id} does not have a dataset") + if self.config.dataset_seed is not None: + dataset = dataset.shuffle(seed=self.config.dataset_seed) + if self.config.dataset_n > 0: + dataset = dataset.select(range(min(self.config.dataset_n, len(dataset)))) + + dataset_rows = [ { "prompt": dataset["prompt"][i], "example_id": dataset["example_id"][i], @@ -171,6 +190,12 @@ async def _ensure_env_loaded(self) -> None: for i in range(len(dataset)) ] + self._envs[vf_env_id] = vf_env + self._env_ids[vf_env_id] = env_id + self._dataset_rows_cache[vf_env_id] = dataset_rows + + return vf_env, env_id, dataset_rows + def _get_openai_client(self) -> VLLMOpenAIClient: if self._openai_client is None: from nemo_gym.global_config import get_first_server_config_dict @@ -233,10 +258,12 @@ def _convert_trajectory_to_output(self, state: dict) -> list: return output async def responses(self, req: VerifiersAgentRunRequest) -> VerifiersNeMoGymResponse: - await self._ensure_env_loaded() + # Use env_id from request if provided, else fall back to config + vf_env_id = req.vf_env_id or self.config.vf_env_id + vf_env, env_id, dataset_rows = await self._ensure_env_loaded(vf_env_id) task_idx = req.task_idx - row = self._dataset_rows[task_idx] + row = dataset_rows[task_idx] rollout_input = vf.RolloutInput( prompt=row["prompt"], @@ -256,7 +283,7 @@ async def responses(self, req: VerifiersAgentRunRequest) -> VerifiersNeMoGymResp "temperature": self.config.temperature, } - states = await self._vf_env.run_group( + states = await vf_env.run_group( group_inputs=[rollout_input], client=client, model=self.config.model_name, @@ -272,12 +299,12 @@ async def responses(self, req: VerifiersAgentRunRequest) -> VerifiersNeMoGymResp output = self._convert_trajectory_to_output(state) return VerifiersNeMoGymResponse( - id=f"verifiers-{self._env_id}-{task_idx}", + id=f"verifiers-{env_id}-{task_idx}", created_at=0, model=self.config.model_name, object="response", output=output, - env_id=self._env_id, + env_id=env_id, group_id=str(task_idx), reward=reward, metrics=metrics, diff --git a/responses_api_agents/verifiers_agent/requirements.txt b/responses_api_agents/verifiers_agent/requirements.txt index c977e0632..f944c249c 100644 --- a/responses_api_agents/verifiers_agent/requirements.txt +++ b/responses_api_agents/verifiers_agent/requirements.txt @@ -2,3 +2,7 @@ verifiers>=0.1.9 --extra-index-url https://hub.primeintellect.ai/primeintellect/simple/ reverse-text +math-python +wordle +aime2025 +ifeval From f71a2b17ffe23dce7a62683cdbb022075507b572 Mon Sep 17 00:00:00 2001 From: Christian Munley <cmunley@nvidia.com> Date: Fri, 9 Jan 2026 01:45:32 -0800 Subject: [PATCH 04/31] readme Signed-off-by: Christian Munley <cmunley@nvidia.com> --- resources_servers/verifiers/README.md | 10 ---------- 1 file changed, 10 deletions(-) diff --git a/resources_servers/verifiers/README.md b/resources_servers/verifiers/README.md index c6f556f53..d7dc1fa51 100644 --- a/resources_servers/verifiers/README.md +++ b/resources_servers/verifiers/README.md @@ -32,16 +32,6 @@ python resources_servers/verifiers/scripts/create_dataset.py \ --output resources_servers/verifiers/data/reverse_text_train.jsonl ``` -**With custom environment args:** -```bash -python resources_servers/verifiers/scripts/create_dataset.py \ - --env-id math-python \ - --env-args '{"difficulty": "easy"}' \ - --size 500 \ - --seed 42 \ - --output resources_servers/verifiers/data/math_train.jsonl -``` - ## Rollout Collection ```bash From 6057187a60b69ce72fbd10fe46ce3a37168733ac Mon Sep 17 00:00:00 2001 From: Christian Munley <cmunley@nvidia.com> Date: Fri, 9 Jan 2026 01:49:00 -0800 Subject: [PATCH 05/31] remove stuff Signed-off-by: Christian Munley <cmunley@nvidia.com> --- resources_servers/verifiers/app.py | 1 - .../verifiers/scripts/create_dataset.py | 14 -------------- responses_api_agents/verifiers_agent/app.py | 1 - 3 files changed, 16 deletions(-) diff --git a/resources_servers/verifiers/app.py b/resources_servers/verifiers/app.py index 09ed953fc..5c968b95a 100644 --- a/resources_servers/verifiers/app.py +++ b/resources_servers/verifiers/app.py @@ -50,7 +50,6 @@ async def seed_session(self, request: Request, body: VerifiersSeedSessionRequest env_id = str(uuid.uuid4()) vf_env = vf.load_environment(body.vf_env_id, **body.vf_env_args) - # Try get_dataset first, fall back to eval_dataset/train_dataset for some envs # TODO: is there more standard way in verifiers.. check prime rl try: dataset = vf_env.get_dataset(n=body.dataset_n, seed=body.dataset_seed) diff --git a/resources_servers/verifiers/scripts/create_dataset.py b/resources_servers/verifiers/scripts/create_dataset.py index 2bc1b289f..14704320e 100644 --- a/resources_servers/verifiers/scripts/create_dataset.py +++ b/resources_servers/verifiers/scripts/create_dataset.py @@ -11,19 +11,6 @@ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. -""" -python scripts/create_dataset.py \ - --env-id reverse-text \ - --size 1000 \ - --output data/reverse_text_train.jsonl - -python scripts/create_dataset.py \ - --env-id math-python \ - --env-args '{"difficulty": "easy"}' \ - --size 1000 \ - --seed 42 \ - --output data/math_train.jsonl -""" import argparse import json from pathlib import Path @@ -49,7 +36,6 @@ def main(): try: dataset = env.get_dataset(n=args.size, seed=args.seed) except ValueError: - # Some environments (aime2025, ifeval, etc.) load dataset via different attributes # TODO: is there more standard way in verifiers.. check prime rl dataset = None for attr in ['dataset', 'train_dataset', 'eval_dataset']: diff --git a/responses_api_agents/verifiers_agent/app.py b/responses_api_agents/verifiers_agent/app.py index f516e76b5..85fca7255 100644 --- a/responses_api_agents/verifiers_agent/app.py +++ b/responses_api_agents/verifiers_agent/app.py @@ -160,7 +160,6 @@ async def _ensure_env_loaded(self, vf_env_id: str) -> tuple[vf.Environment, str, vf_env = vf.load_environment(vf_env_id, **self.config.vf_env_args) - # Try get_dataset first, fall back to eval_dataset/train_dataset for some envs # TODO: is there more standard way in verifiers.. check prime rl try: dataset = vf_env.get_dataset(n=self.config.dataset_n, seed=self.config.dataset_seed) From 28d273c3203a6abff02ae7ca05514fb9f694819d Mon Sep 17 00:00:00 2001 From: Christian Munley <cmunley@nvidia.com> Date: Fri, 9 Jan 2026 11:06:51 -0800 Subject: [PATCH 06/31] prompt from datset not idx Signed-off-by: Christian Munley <cmunley@nvidia.com> --- resources_servers/verifiers/requirements.txt | 1 + .../verifiers/scripts/create_dataset.py | 1 + responses_api_agents/verifiers_agent/app.py | 73 +++++++++---------- .../verifiers_agent/requirements.txt | 1 + .../vllm_model/configs/vllm_model.yaml | 2 +- 5 files changed, 40 insertions(+), 38 deletions(-) diff --git a/resources_servers/verifiers/requirements.txt b/resources_servers/verifiers/requirements.txt index f944c249c..3bc70b36f 100644 --- a/resources_servers/verifiers/requirements.txt +++ b/resources_servers/verifiers/requirements.txt @@ -6,3 +6,4 @@ math-python wordle aime2025 ifeval +alphabet-sort diff --git a/resources_servers/verifiers/scripts/create_dataset.py b/resources_servers/verifiers/scripts/create_dataset.py index 14704320e..8cbd4c1fd 100644 --- a/resources_servers/verifiers/scripts/create_dataset.py +++ b/resources_servers/verifiers/scripts/create_dataset.py @@ -70,6 +70,7 @@ def main(): "answer": dataset["answer"][i] if "answer" in dataset.column_names else "", "task": dataset["task"][i], "example_id": dataset["example_id"][i], + "info": dataset["info"][i] if "info" in dataset.column_names else {}, } f.write(json.dumps(row) + "\n") diff --git a/responses_api_agents/verifiers_agent/app.py b/responses_api_agents/verifiers_agent/app.py index 85fca7255..9446af999 100644 --- a/responses_api_agents/verifiers_agent/app.py +++ b/responses_api_agents/verifiers_agent/app.py @@ -58,7 +58,7 @@ async def create(self, *args: Any, **kwargs: Any) -> ChatCompletion: resp.raise_for_status() response_dict = await resp.json() - # Extract token IDs from vllm_model format + # Extract token IDs from vllm_model choice_dict = response_dict["choices"][0] message_dict = choice_dict.get("message", {}) prompt_token_ids = message_dict.pop("prompt_token_ids", []) @@ -126,6 +126,16 @@ class VerifiersAgentRunRequest(BaseRunRequest): responses_create_params: NeMoGymResponseCreateParamsNonStreaming = Field( default_factory=lambda: NeMoGymResponseCreateParamsNonStreaming(input=[]) ) + answer: str = Field(default="", description="Expected answer") + task: str = Field(default="default", description="Task type") + example_id: int | str = Field(default=0, description="Example ID") + info: dict = Field(default_factory=dict, description="Extra info for scoring (e.g., ifeval constraints)") + + +_ENVS_CACHE: dict[str, vf.Environment] = {} +_ENV_IDS_CACHE: dict[str, str] = {} +_DATASET_ROWS_CACHE: dict[str, list[dict]] = {} +_OPENAI_CLIENT_CACHE: dict[str, "VLLMOpenAIClient"] = {} class VerifiersAgent(SimpleResponsesAPIAgent): @@ -133,30 +143,13 @@ class VerifiersAgent(SimpleResponsesAPIAgent): model_config = ConfigDict(arbitrary_types_allowed=True) config: VerifiersAgentConfig - _envs: dict[str, vf.Environment] = {} - _env_ids: dict[str, str] = {} - _dataset_rows_cache: dict[str, list[dict]] = {} - _openai_client: VLLMOpenAIClient | None = None - async def _ensure_env_loaded(self, vf_env_id: str) -> tuple[vf.Environment, str, list[dict]]: - if vf_env_id in self._envs: - return self._envs[vf_env_id], self._env_ids[vf_env_id], self._dataset_rows_cache[vf_env_id] - - response = await self.server_client.post( - server_name=self.config.resources_server.name, - url_path="/seed_session", - json={ - "vf_env_id": vf_env_id, - "vf_env_args": self.config.vf_env_args, - "dataset_n": self.config.dataset_n, - "dataset_seed": self.config.dataset_seed, - }, - ) - response.raise_for_status() - seed_response = VerifiersSeedSessionResponse.model_validate(await response.json()) + if vf_env_id in _ENVS_CACHE: + return _ENVS_CACHE[vf_env_id], _ENV_IDS_CACHE[vf_env_id], _DATASET_ROWS_CACHE[vf_env_id] - env_id = seed_response.env_id - logger.info(f"Seeded verifiers environment: {seed_response.vf_env_id} with {seed_response.dataset_length} examples") + import uuid + env_id = f"{vf_env_id}-{uuid.uuid4().hex[:8]}" + logger.info(f"Loading verifiers environment: {vf_env_id}") vf_env = vf.load_environment(vf_env_id, **self.config.vf_env_args) @@ -189,14 +182,15 @@ async def _ensure_env_loaded(self, vf_env_id: str) -> tuple[vf.Environment, str, for i in range(len(dataset)) ] - self._envs[vf_env_id] = vf_env - self._env_ids[vf_env_id] = env_id - self._dataset_rows_cache[vf_env_id] = dataset_rows + _ENVS_CACHE[vf_env_id] = vf_env + _ENV_IDS_CACHE[vf_env_id] = env_id + _DATASET_ROWS_CACHE[vf_env_id] = dataset_rows return vf_env, env_id, dataset_rows def _get_openai_client(self) -> VLLMOpenAIClient: - if self._openai_client is None: + cache_key = self.config.model_server.name + if cache_key not in _OPENAI_CLIENT_CACHE: from nemo_gym.global_config import get_first_server_config_dict server_config_dict = get_first_server_config_dict( @@ -208,10 +202,10 @@ def _get_openai_client(self) -> VLLMOpenAIClient: if not model_server_url.endswith("/v1"): model_server_url = model_server_url.rstrip("/") + "/v1" - self._openai_client = VLLMOpenAIClient(base_url=model_server_url) + _OPENAI_CLIENT_CACHE[cache_key] = VLLMOpenAIClient(base_url=model_server_url) logger.info(f"Created VLLMOpenAIClient pointing to: {model_server_url}") - return self._openai_client + return _OPENAI_CLIENT_CACHE[cache_key] def _convert_trajectory_to_output(self, state: dict) -> list: from nemo_gym.openai_utils import ( @@ -257,19 +251,24 @@ def _convert_trajectory_to_output(self, state: dict) -> list: return output async def responses(self, req: VerifiersAgentRunRequest) -> VerifiersNeMoGymResponse: - # Use env_id from request if provided, else fall back to config vf_env_id = req.vf_env_id or self.config.vf_env_id - vf_env, env_id, dataset_rows = await self._ensure_env_loaded(vf_env_id) + vf_env, env_id, _ = await self._ensure_env_loaded(vf_env_id) task_idx = req.task_idx - row = dataset_rows[task_idx] + + prompt_messages = [] + for item in req.responses_create_params.input or []: + if hasattr(item, 'role') and hasattr(item, 'content'): + prompt_messages.append({"role": item.role, "content": item.content}) + elif isinstance(item, dict): + prompt_messages.append({"role": item.get("role", "user"), "content": item.get("content", "")}) rollout_input = vf.RolloutInput( - prompt=row["prompt"], - answer=row.get("answer", ""), - task=row["task"], - info=row.get("info", {}), - example_id=row["example_id"], + prompt=prompt_messages, + answer=req.answer, + task=req.task, + info=req.info, + example_id=req.example_id, ) client = self._get_openai_client() diff --git a/responses_api_agents/verifiers_agent/requirements.txt b/responses_api_agents/verifiers_agent/requirements.txt index f944c249c..3bc70b36f 100644 --- a/responses_api_agents/verifiers_agent/requirements.txt +++ b/responses_api_agents/verifiers_agent/requirements.txt @@ -6,3 +6,4 @@ math-python wordle aime2025 ifeval +alphabet-sort diff --git a/responses_api_models/vllm_model/configs/vllm_model.yaml b/responses_api_models/vllm_model/configs/vllm_model.yaml index 70727036c..f7850d900 100644 --- a/responses_api_models/vllm_model/configs/vllm_model.yaml +++ b/responses_api_models/vllm_model/configs/vllm_model.yaml @@ -5,5 +5,5 @@ policy_model: base_url: ${policy_base_url} api_key: ${policy_api_key} model: ${policy_model_name} - return_token_id_information: true + return_token_id_information: false uses_reasoning_parser: true From b559bb770dd3dfd37c03f3a84d5bff0dda19b0de Mon Sep 17 00:00:00 2001 From: cmunley1 <cmunley@nvidia.com> Date: Sat, 10 Jan 2026 11:51:47 -0800 Subject: [PATCH 07/31] training Signed-off-by: cmunley1 <cmunley@nvidia.com> --- resources_servers/verifiers/requirements.txt | 2 + resources_servers/verifiers/schemas.py | 2 +- responses_api_agents/verifiers_agent/app.py | 159 ++++++++++-------- .../verifiers_agent/requirements.txt | 2 + 4 files changed, 92 insertions(+), 73 deletions(-) diff --git a/resources_servers/verifiers/requirements.txt b/resources_servers/verifiers/requirements.txt index 3bc70b36f..e5a87955f 100644 --- a/resources_servers/verifiers/requirements.txt +++ b/resources_servers/verifiers/requirements.txt @@ -7,3 +7,5 @@ wordle aime2025 ifeval alphabet-sort +i3-math +acereason-math diff --git a/resources_servers/verifiers/schemas.py b/resources_servers/verifiers/schemas.py index e5e8c3bcc..9fa594b31 100644 --- a/resources_servers/verifiers/schemas.py +++ b/resources_servers/verifiers/schemas.py @@ -91,7 +91,7 @@ class VerifiersNeMoGymResponse(NeMoGymResponse): env_id: str group_id: str contains_transitions: Literal[True] = True - output: list[list[NeMoGymResponseOutputItem]] + output: list[dict[str, Any]] reward: float metrics: dict[str, Any] = Field(default_factory=dict) parallel_tool_calls: bool = False diff --git a/responses_api_agents/verifiers_agent/app.py b/responses_api_agents/verifiers_agent/app.py index 9446af999..ee4df9503 100644 --- a/responses_api_agents/verifiers_agent/app.py +++ b/responses_api_agents/verifiers_agent/app.py @@ -12,6 +12,8 @@ # See the License for the specific language governing permissions and # limitations under the License. import logging +import sys +import traceback from typing import Any import aiohttp @@ -40,7 +42,7 @@ class _VLLMChatCompletions(AsyncCompletions): - """Wraps vllm_model and injects token IDs as attributes for verifiers.""" + """adapt vllm_model format to verifiers expected format""" def __init__(self, base_url: str) -> None: self._base_url = base_url.rstrip("/") @@ -53,19 +55,33 @@ async def create(self, *args: Any, **kwargs: Any) -> ChatCompletion: if key in kwargs and kwargs[key] is not None: request_body[key] = kwargs[key] - async with aiohttp.ClientSession() as session: - async with session.post(f"{self._base_url}/chat/completions", json=request_body) as resp: - resp.raise_for_status() - response_dict = await resp.json() + url = f"{self._base_url}/chat/completions" + try: + async with aiohttp.ClientSession() as session: + async with session.post(url, json=request_body) as resp: + if resp.status != 200: + error_text = await resp.text() + logger.error(f"[verifiers_agent] Request to {url} failed with status {resp.status}: {error_text[:500]}") + resp.raise_for_status() + response_dict = await resp.json() + except Exception as e: + logger.error(f"[verifiers_agent] Exception calling {url}: {type(e).__name__}: {e}") + raise - # Extract token IDs from vllm_model choice_dict = response_dict["choices"][0] message_dict = choice_dict.get("message", {}) + + prompt_token_ids = message_dict.pop("prompt_token_ids", []) generation_token_ids = message_dict.pop("generation_token_ids", []) generation_log_probs = message_dict.pop("generation_log_probs", []) - # Reconstruct logprobs.content for verifiers + if not generation_token_ids: + logger.warning(f"[verifiers_agent] No generation_token_ids in response! Full message keys were: {list(choice_dict.get('message', {}).keys())}") + + if generation_token_ids and isinstance(generation_token_ids[0], str): + generation_token_ids = [int(tid) for tid in generation_token_ids] + if generation_token_ids and generation_log_probs: choice_dict["logprobs"] = { "content": [ @@ -116,6 +132,7 @@ class VerifiersAgentConfig(BaseResponsesAPIAgentConfig): max_tokens: int = Field(default=512, description="Max tokens for generation") temperature: float = Field(default=1.0, description="Sampling temperature") + top_p: float = Field(default=1.0, description="Top-p sampling") class VerifiersAgentRunRequest(BaseRunRequest): @@ -129,7 +146,7 @@ class VerifiersAgentRunRequest(BaseRunRequest): answer: str = Field(default="", description="Expected answer") task: str = Field(default="default", description="Task type") example_id: int | str = Field(default=0, description="Example ID") - info: dict = Field(default_factory=dict, description="Extra info for scoring (e.g., ifeval constraints)") + info: dict = Field(default_factory=dict, description="Extra info for scoring") _ENVS_CACHE: dict[str, vf.Environment] = {} @@ -162,7 +179,6 @@ async def _ensure_env_loaded(self, vf_env_id: str) -> tuple[vf.Environment, str, ds = getattr(vf_env, attr, None) if ds is not None: dataset = ds - logger.info(f"Found dataset in vf_env.{attr}") break if dataset is None: raise ValueError(f"Environment {vf_env_id} does not have a dataset") @@ -203,7 +219,6 @@ def _get_openai_client(self) -> VLLMOpenAIClient: model_server_url = model_server_url.rstrip("/") + "/v1" _OPENAI_CLIENT_CACHE[cache_key] = VLLMOpenAIClient(base_url=model_server_url) - logger.info(f"Created VLLMOpenAIClient pointing to: {model_server_url}") return _OPENAI_CLIENT_CACHE[cache_key] @@ -220,97 +235,97 @@ def _convert_trajectory_to_output(self, state: dict) -> list: trajectory = state.get("trajectory", []) for step in trajectory: - step_output = [] - for msg in step.get("prompt", []): if isinstance(msg, dict): role = msg.get("role", "user") content = msg.get("content", "") - step_output.append(NeMoGymEasyInputMessage(role=role, content=content)) + output.append(NeMoGymEasyInputMessage(role=role, content=content).model_dump()) tokens = step.get("tokens") for msg in step.get("completion", []): if isinstance(msg, dict): content = msg.get("content", "") if tokens: - step_output.append(NeMoGymResponseOutputMessageForTraining( + output.append(NeMoGymResponseOutputMessageForTraining( id=f"msg_{id(msg)}", content=[NeMoGymResponseOutputText(text=content, annotations=[])], prompt_token_ids=tokens.get("prompt_ids", []), generation_token_ids=tokens.get("completion_ids", []), generation_log_probs=tokens.get("completion_logprobs", []), - )) + ).model_dump()) else: - step_output.append(NeMoGymResponseOutputMessage( + output.append(NeMoGymResponseOutputMessage( id=f"msg_{id(msg)}", content=[NeMoGymResponseOutputText(text=content, annotations=[])], - )) - - output.append(step_output) + ).model_dump()) return output async def responses(self, req: VerifiersAgentRunRequest) -> VerifiersNeMoGymResponse: - vf_env_id = req.vf_env_id or self.config.vf_env_id - vf_env, env_id, _ = await self._ensure_env_loaded(vf_env_id) - - task_idx = req.task_idx - - prompt_messages = [] - for item in req.responses_create_params.input or []: - if hasattr(item, 'role') and hasattr(item, 'content'): - prompt_messages.append({"role": item.role, "content": item.content}) - elif isinstance(item, dict): - prompt_messages.append({"role": item.get("role", "user"), "content": item.get("content", "")}) - - rollout_input = vf.RolloutInput( - prompt=prompt_messages, - answer=req.answer, - task=req.task, - info=req.info, - example_id=req.example_id, - ) - - client = self._get_openai_client() + try: + vf_env_id = req.vf_env_id or self.config.vf_env_id + vf_env, env_id, _ = await self._ensure_env_loaded(vf_env_id) + + task_idx = req.task_idx + + prompt_messages = [] + for item in req.responses_create_params.input or []: + if hasattr(item, 'role') and hasattr(item, 'content'): + prompt_messages.append({"role": item.role, "content": item.content}) + elif isinstance(item, dict): + prompt_messages.append({"role": item.get("role", "user"), "content": item.get("content", "")}) + + rollout_input = vf.RolloutInput( + prompt=prompt_messages, + answer=req.answer, + task=req.task, + info=req.info, + example_id=req.example_id, + ) - gen_sem = await maybe_semaphore(self.config.max_concurrent_generation) - score_sem = await maybe_semaphore(self.config.max_concurrent_scoring) + client = self._get_openai_client() - sampling_args = { - "max_tokens": self.config.max_tokens, - "temperature": self.config.temperature, - } + gen_sem = await maybe_semaphore(self.config.max_concurrent_generation) + score_sem = await maybe_semaphore(self.config.max_concurrent_scoring) - states = await vf_env.run_group( - group_inputs=[rollout_input], - client=client, - model=self.config.model_name, - gen_sampling_args=sampling_args, - gen_sem=gen_sem, - score_sem=score_sem, - ) + sampling_args = { + "max_tokens": self.config.max_tokens, + "temperature": self.config.temperature, + "top_p": self.config.top_p, + } + states = await vf_env.run_group( + group_inputs=[rollout_input], + client=client, + model=self.config.model_name, + gen_sampling_args=sampling_args, + gen_sem=gen_sem, + score_sem=score_sem, + ) - state = states[0] - reward = state.get("reward", 0.0) or 0.0 - metrics = state.get("metrics", {}) or {} - - output = self._convert_trajectory_to_output(state) - - return VerifiersNeMoGymResponse( - id=f"verifiers-{env_id}-{task_idx}", - created_at=0, - model=self.config.model_name, - object="response", - output=output, - env_id=env_id, - group_id=str(task_idx), - reward=reward, - metrics=metrics, - ) + state = states[0] + reward = state.get("reward", 0.0) or 0.0 + metrics = state.get("metrics", {}) or {} + + output = self._convert_trajectory_to_output(state) + + return VerifiersNeMoGymResponse( + id=f"verifiers-{env_id}-{task_idx}", + created_at=0, + model=self.config.model_name, + object="response", + output=output, + env_id=env_id, + group_id=str(task_idx), + reward=reward, + metrics=metrics, + ) + except Exception as e: + logger.error(f"[verifiers_agent] EXCEPTION in responses(): {type(e).__name__}: {e}") + logger.error(f"[verifiers_agent] Traceback:\n{traceback.format_exc()}") + raise async def run(self, body: VerifiersAgentRunRequest) -> VerifiersAgentVerifyResponse: response = await self.responses(body) - return VerifiersAgentVerifyResponse( responses_create_params=body.responses_create_params, response=response, diff --git a/responses_api_agents/verifiers_agent/requirements.txt b/responses_api_agents/verifiers_agent/requirements.txt index 3bc70b36f..e5a87955f 100644 --- a/responses_api_agents/verifiers_agent/requirements.txt +++ b/responses_api_agents/verifiers_agent/requirements.txt @@ -7,3 +7,5 @@ wordle aime2025 ifeval alphabet-sort +i3-math +acereason-math From efbed85ed5faba1b04813c59ad9f8bbae0a0a9e9 Mon Sep 17 00:00:00 2001 From: cmunley1 <cmunley@nvidia.com> Date: Sat, 10 Jan 2026 14:27:21 -0800 Subject: [PATCH 08/31] simplify Signed-off-by: cmunley1 <cmunley@nvidia.com> --- resources_servers/verifiers/schemas.py | 23 +-------------------- responses_api_agents/verifiers_agent/app.py | 8 ++----- 2 files changed, 3 insertions(+), 28 deletions(-) diff --git a/resources_servers/verifiers/schemas.py b/resources_servers/verifiers/schemas.py index 9fa594b31..db03433b6 100644 --- a/resources_servers/verifiers/schemas.py +++ b/resources_servers/verifiers/schemas.py @@ -22,7 +22,7 @@ BaseVerifyRequest, BaseVerifyResponse, ) -from nemo_gym.openai_utils import NeMoGymResponse, NeMoGymResponseCreateParamsNonStreaming, NeMoGymResponseOutputItem +from nemo_gym.openai_utils import NeMoGymResponse, NeMoGymResponseCreateParamsNonStreaming class VerifiersResourcesServerConfig(BaseResourcesServerConfig): @@ -66,27 +66,6 @@ class VerifiersCloseResponse(BaseModel): success: bool -class VerifiersAgentConfig(BaseModel): - model_config = ConfigDict(extra="allow") - - vf_env_id: str = Field(description="Default verifiers environment ID") - vf_env_args: dict = Field(default_factory=dict, description="Default environment arguments") - dataset_n: int = Field(default=-1, description="Number of examples to load") - dataset_seed: int | None = Field(default=None, description="Seed for dataset shuffling") - group_size: int = Field(default=1, description="Number of rollouts per example") - max_concurrent_generation: int = Field(default=-1, description="Max concurrent generation") - max_concurrent_scoring: int = Field(default=-1, description="Max concurrent scoring") - - -class VerifiersAgentRunRequest(BaseModel): - model_config = ConfigDict(extra="allow") - - task_idx: int = Field(description="Index of the example to run") - responses_create_params: NeMoGymResponseCreateParamsNonStreaming = Field( - default_factory=lambda: NeMoGymResponseCreateParamsNonStreaming(input=[]) - ) - - class VerifiersNeMoGymResponse(NeMoGymResponse): env_id: str group_id: str diff --git a/responses_api_agents/verifiers_agent/app.py b/responses_api_agents/verifiers_agent/app.py index ee4df9503..5f235541e 100644 --- a/responses_api_agents/verifiers_agent/app.py +++ b/responses_api_agents/verifiers_agent/app.py @@ -12,8 +12,8 @@ # See the License for the specific language governing permissions and # limitations under the License. import logging -import sys import traceback +import uuid from typing import Any import aiohttp @@ -34,7 +34,6 @@ VerifiersAgentVerifyRequest, VerifiersAgentVerifyResponse, VerifiersNeMoGymResponse, - VerifiersSeedSessionResponse, ) @@ -71,7 +70,6 @@ async def create(self, *args: Any, **kwargs: Any) -> ChatCompletion: choice_dict = response_dict["choices"][0] message_dict = choice_dict.get("message", {}) - prompt_token_ids = message_dict.pop("prompt_token_ids", []) generation_token_ids = message_dict.pop("generation_token_ids", []) generation_log_probs = message_dict.pop("generation_log_probs", []) @@ -164,7 +162,6 @@ async def _ensure_env_loaded(self, vf_env_id: str) -> tuple[vf.Environment, str, if vf_env_id in _ENVS_CACHE: return _ENVS_CACHE[vf_env_id], _ENV_IDS_CACHE[vf_env_id], _DATASET_ROWS_CACHE[vf_env_id] - import uuid env_id = f"{vf_env_id}-{uuid.uuid4().hex[:8]}" logger.info(f"Loading verifiers environment: {vf_env_id}") @@ -226,9 +223,8 @@ def _convert_trajectory_to_output(self, state: dict) -> list: from nemo_gym.openai_utils import ( NeMoGymEasyInputMessage, NeMoGymResponseOutputMessage, - NeMoGymResponseOutputText, - NeMoGymEasyInputMessageForTraining, NeMoGymResponseOutputMessageForTraining, + NeMoGymResponseOutputText, ) output = [] From 08329cf77cd1f3fa5419bb83bf2250289cd14f17 Mon Sep 17 00:00:00 2001 From: cmunley1 <cmunley@nvidia.com> Date: Mon, 12 Jan 2026 17:18:16 -0800 Subject: [PATCH 09/31] copyright; request params; pydantic; local cache; dedup create dataset Signed-off-by: cmunley1 <cmunley@nvidia.com> --- resources_servers/verifiers/README.md | 16 +- resources_servers/verifiers/__init__.py | 14 ++ resources_servers/verifiers/app.py | 53 ++----- resources_servers/verifiers/schemas.py | 34 +++-- .../verifiers/scripts/create_dataset.py | 47 ++---- resources_servers/verifiers/utils.py | 53 +++++++ .../verifiers_agent/__init__.py | 14 ++ responses_api_agents/verifiers_agent/app.py | 142 ++++++++---------- .../verifiers_agent/requirements.txt | 11 +- 9 files changed, 204 insertions(+), 180 deletions(-) create mode 100644 resources_servers/verifiers/utils.py diff --git a/resources_servers/verifiers/README.md b/resources_servers/verifiers/README.md index d7dc1fa51..ece7b63c0 100644 --- a/resources_servers/verifiers/README.md +++ b/resources_servers/verifiers/README.md @@ -11,15 +11,14 @@ Install verifiers and an environment from the Environments Hub: ```bash uv add verifiers uv tool install prime -prime env install primeintellect/reverse-text -prime env install primeintellect/math-python +prime env install primeintellect/acereason-math ``` Currently the environment package must also be listed in the `requirements.txt` files for both the resource server and agent, since they run in isolated venvs. For example: ``` --extra-index-url https://hub.primeintellect.ai/primeintellect/simple/ -reverse-text +acereason-math ``` i ## Dataset Prep @@ -27,9 +26,9 @@ i **Create dataset from verifiers environment:** ```bash python resources_servers/verifiers/scripts/create_dataset.py \ - --env-id reverse-text \ - --size 100 \ - --output resources_servers/verifiers/data/reverse_text_train.jsonl + --env-id acereason-math \ + --size 5 \ + --output resources_servers/verifiers/data/acereason_math_example.jsonl ``` ## Rollout Collection @@ -41,11 +40,10 @@ ng_run "+config_paths=[resources_servers/verifiers/configs/verifiers.yaml,respon ```bash ng_collect_rollouts \ +agent_name=verifiers_agent \ - +input_jsonl_fpath=resources_servers/verifiers/data/example.jsonl \ + +input_jsonl_fpath=resources_servers/verifiers/data/acereason_math_example.jsonl \ +output_jsonl_fpath=results/verifiers_rollouts.jsonl \ +limit=5 ``` -## Available Environments -Any text-based environment from the [Environments Hub](https://app.primeintellect.ai/dashboard/environments): +See [Environments Hub](https://app.primeintellect.ai/dashboard/environments) for available environments. Only some are tested within NeMo Gym currently. diff --git a/resources_servers/verifiers/__init__.py b/resources_servers/verifiers/__init__.py index e69de29bb..467079831 100644 --- a/resources_servers/verifiers/__init__.py +++ b/resources_servers/verifiers/__init__.py @@ -0,0 +1,14 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. diff --git a/resources_servers/verifiers/app.py b/resources_servers/verifiers/app.py index 5c968b95a..633f8b6cc 100644 --- a/resources_servers/verifiers/app.py +++ b/resources_servers/verifiers/app.py @@ -1,4 +1,4 @@ -# Copyright (c) 2025, NVIDIA CORPORATION. All rights reserved. +# Copyright (c) 2026, NVIDIA CORPORATION. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. @@ -24,15 +24,18 @@ from schemas import ( VerifiersCloseRequest, VerifiersCloseResponse, + VerifiersGetExampleRequest, + VerifiersGetExampleResponse, VerifiersResourcesServerConfig, VerifiersSeedSessionRequest, VerifiersSeedSessionResponse, + VerifiersVerifyRequest, + VerifiersVerifyResponse, ) - +from utils import load_verifiers_dataset logger = logging.getLogger(__name__) - class VerifiersResourcesServer(SimpleResourcesServer): model_config = ConfigDict(arbitrary_types_allowed=True) @@ -50,34 +53,7 @@ async def seed_session(self, request: Request, body: VerifiersSeedSessionRequest env_id = str(uuid.uuid4()) vf_env = vf.load_environment(body.vf_env_id, **body.vf_env_args) - # TODO: is there more standard way in verifiers.. check prime rl - try: - dataset = vf_env.get_dataset(n=body.dataset_n, seed=body.dataset_seed) - except ValueError: - dataset = None - for attr in ['dataset', 'train_dataset', 'eval_dataset']: - ds = getattr(vf_env, attr, None) - if ds is not None: - dataset = ds - logger.info(f"Found dataset in vf_env.{attr}") - break - if dataset is None: - raise ValueError(f"Environment {body.vf_env_id} does not have a dataset") - if body.dataset_seed is not None: - dataset = dataset.shuffle(seed=body.dataset_seed) - if body.dataset_n > 0: - dataset = dataset.select(range(min(body.dataset_n, len(dataset)))) - - rows = [ - { - "prompt": dataset["prompt"][i], - "example_id": dataset["example_id"][i], - "task": dataset["task"][i], - **({"answer": dataset["answer"][i]} if "answer" in dataset.column_names else {}), - **({"info": dataset["info"][i]} if "info" in dataset.column_names else {}), - } - for i in range(len(dataset)) - ] + rows = load_verifiers_dataset(vf_env, n=body.dataset_n, seed=body.dataset_seed) self.env_id_to_env[env_id] = vf_env self.env_id_to_dataset[env_id] = rows @@ -90,9 +66,9 @@ async def seed_session(self, request: Request, body: VerifiersSeedSessionRequest vf_env_id=body.vf_env_id, ) - async def get_example(self, request: Request, body: dict) -> dict: - env_id = body["env_id"] - task_idx = body["task_idx"] + async def get_example(self, request: Request, body: VerifiersGetExampleRequest) -> VerifiersGetExampleResponse: + env_id = body.env_id + task_idx = body.task_idx if env_id not in self.env_id_to_dataset: raise ValueError(f"Unknown env_id: {env_id}") @@ -101,13 +77,12 @@ async def get_example(self, request: Request, body: dict) -> dict: if task_idx < 0 or task_idx >= len(rows): raise ValueError(f"task_idx {task_idx} out of range [0, {len(rows)})") - return rows[task_idx] + return VerifiersGetExampleResponse(**rows[task_idx]) - async def verify(self, request: Request, body: dict) -> dict: - response = body.get("response", {}) + async def verify(self, request: Request, body: VerifiersVerifyRequest) -> VerifiersVerifyResponse: + response = body.response reward = response.get("reward", 0.0) - - return {**body, "reward": reward} + return VerifiersVerifyResponse(**body.model_dump(), reward=reward) async def close(self, request: Request, body: VerifiersCloseRequest) -> VerifiersCloseResponse: env_id = body.env_id diff --git a/resources_servers/verifiers/schemas.py b/resources_servers/verifiers/schemas.py index db03433b6..f00e983e4 100644 --- a/resources_servers/verifiers/schemas.py +++ b/resources_servers/verifiers/schemas.py @@ -1,4 +1,4 @@ -# Copyright (c) 2025, NVIDIA CORPORATION. All rights reserved. +# Copyright (c) 2026, NVIDIA CORPORATION. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. @@ -22,26 +22,22 @@ BaseVerifyRequest, BaseVerifyResponse, ) -from nemo_gym.openai_utils import NeMoGymResponse, NeMoGymResponseCreateParamsNonStreaming - +from nemo_gym.openai_utils import NeMoGymResponse class VerifiersResourcesServerConfig(BaseResourcesServerConfig): pass - class VerifiersSeedSessionRequest(BaseSeedSessionRequest): vf_env_id: str = Field(description="The verifiers environment ID to load") vf_env_args: dict = Field(default_factory=dict, description="Arguments to pass to the environment") dataset_n: int = Field(default=-1, description="Number of examples to load (-1 for all)") dataset_seed: int | None = Field(default=None, description="Seed for dataset shuffling") - class VerifiersSeedSessionResponse(BaseSeedSessionResponse): env_id: str = Field(description="Unique ID for this environment session") dataset_length: int = Field(description="Number of examples in the dataset") vf_env_id: str = Field(description="The verifiers environment ID that was loaded") - class VerifiersRunRequest(BaseModel): env_id: str = Field(description="Environment session ID from seed_session") task_indices: list[int] = Field(description="Indices of examples to run") @@ -50,22 +46,18 @@ class VerifiersRunRequest(BaseModel): max_concurrent_generation: int = Field(default=-1, description="Max concurrent generation requests") max_concurrent_scoring: int = Field(default=-1, description="Max concurrent scoring requests") - class VerifiersRunResponse(BaseModel): states: list[dict[str, Any]] = Field(description="Verifiers State objects (serialized)") rewards: list[float] = Field(description="Rewards for each rollout") metrics: list[dict[str, Any]] = Field(description="Metrics for each rollout") - class VerifiersCloseRequest(BaseModel): env_id: str - class VerifiersCloseResponse(BaseModel): message: str success: bool - class VerifiersNeMoGymResponse(NeMoGymResponse): env_id: str group_id: str @@ -77,11 +69,29 @@ class VerifiersNeMoGymResponse(NeMoGymResponse): tool_choice: str = "none" tools: list = Field(default_factory=list) - class VerifiersAgentVerifyRequest(BaseVerifyRequest): model_config = ConfigDict(extra="allow") response: VerifiersNeMoGymResponse - class VerifiersAgentVerifyResponse(VerifiersAgentVerifyRequest, BaseVerifyResponse): model_config = ConfigDict(extra="allow") + +class VerifiersGetExampleRequest(BaseModel): + env_id: str + task_idx: int + +class VerifiersGetExampleResponse(BaseModel): + model_config = ConfigDict(extra="allow") + prompt: list[dict[str, Any]] + example_id: int | str + task: str + answer: str | None = None + info: dict | None = None + +class VerifiersVerifyRequest(BaseVerifyRequest): + model_config = ConfigDict(extra="allow") + response: dict[str, Any] + +class VerifiersVerifyResponse(BaseVerifyResponse): + model_config = ConfigDict(extra="allow") + reward: float diff --git a/resources_servers/verifiers/scripts/create_dataset.py b/resources_servers/verifiers/scripts/create_dataset.py index 8cbd4c1fd..4ab8481da 100644 --- a/resources_servers/verifiers/scripts/create_dataset.py +++ b/resources_servers/verifiers/scripts/create_dataset.py @@ -1,4 +1,4 @@ -# Copyright (c) 2025, NVIDIA CORPORATION. All rights reserved. +# Copyright (c) 2026, NVIDIA CORPORATION. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. @@ -13,10 +13,13 @@ # limitations under the License. import argparse import json +import sys from pathlib import Path import verifiers as vf +sys.path.insert(0, str(Path(__file__).parent.parent)) +from utils import load_verifiers_dataset def main(): parser = argparse.ArgumentParser(description="Create dataset from verifiers environment") @@ -33,48 +36,30 @@ def main(): env = vf.load_environment(args.env_id, **env_args) print(f"Getting dataset (size={args.size}, seed={args.seed})") - try: - dataset = env.get_dataset(n=args.size, seed=args.seed) - except ValueError: - # TODO: is there more standard way in verifiers.. check prime rl - dataset = None - for attr in ['dataset', 'train_dataset', 'eval_dataset']: - ds = getattr(env, attr, None) - if ds is not None: - dataset = ds - print(f"Found dataset in env.{attr}") - break + dataset_rows = load_verifiers_dataset(env, n=args.size, seed=args.seed) - if dataset is None: - raise ValueError(f"Environment {args.env_id} does not have a dataset") - - if args.seed is not None: - dataset = dataset.shuffle(seed=args.seed) - if args.size > 0: - dataset = dataset.select(range(min(args.size, len(dataset)))) - - print(f"Dataset has {len(dataset)} examples") + print(f"Dataset has {len(dataset_rows)} examples") output_path = Path(args.output) output_path.parent.mkdir(parents=True, exist_ok=True) with open(output_path, "w") as f: - for i in range(len(dataset)): - row = { + for i, row in enumerate(dataset_rows): + output_row = { "task_idx": i, "vf_env_id": args.env_id, "responses_create_params": { - "input": dataset["prompt"][i], + "input": row["prompt"], }, - "question": dataset["prompt"][i][-1]["content"] if dataset["prompt"][i] else "", - "answer": dataset["answer"][i] if "answer" in dataset.column_names else "", - "task": dataset["task"][i], - "example_id": dataset["example_id"][i], - "info": dataset["info"][i] if "info" in dataset.column_names else {}, + "question": row["prompt"][-1]["content"] if row["prompt"] else "", + "answer": row.get("answer", ""), + "task": row["task"], + "example_id": row["example_id"], + "info": row.get("info", {}), } - f.write(json.dumps(row) + "\n") + f.write(json.dumps(output_row) + "\n") - print(f"Wrote {len(dataset)} examples to {output_path}") + print(f"Wrote {len(dataset_rows)} examples to {output_path}") if __name__ == "__main__": diff --git a/resources_servers/verifiers/utils.py b/resources_servers/verifiers/utils.py new file mode 100644 index 000000000..e1edb3fcb --- /dev/null +++ b/resources_servers/verifiers/utils.py @@ -0,0 +1,53 @@ +# Copyright (c) 2026, NVIDIA CORPORATION. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +import logging +from typing import Any + +import verifiers as vf + +logger = logging.getLogger(__name__) + +def load_verifiers_dataset( + vf_env: vf.Environment, + n: int = -1, + seed: int | None = None, +) -> list[dict[str, Any]]: + # TODO: Is there a more standard way in verifiers to get the dataset? check prime? + try: + dataset = vf_env.get_dataset(n=n, seed=seed) + except ValueError: + dataset = None + for attr in ['dataset', 'train_dataset', 'eval_dataset']: + ds = getattr(vf_env, attr, None) + if ds is not None: + dataset = ds + logger.info(f"Found dataset in vf_env.{attr}") + break + if dataset is None: + raise ValueError("Environment does not have a dataset") + if seed is not None: + dataset = dataset.shuffle(seed=seed) + if n > 0: + dataset = dataset.select(range(min(n, len(dataset)))) + + return [ + { + "prompt": dataset["prompt"][i], + "example_id": dataset["example_id"][i], + "task": dataset["task"][i], + **({"answer": dataset["answer"][i]} if "answer" in dataset.column_names else {}), + **({"info": dataset["info"][i]} if "info" in dataset.column_names else {}), + } + for i in range(len(dataset)) + ] diff --git a/responses_api_agents/verifiers_agent/__init__.py b/responses_api_agents/verifiers_agent/__init__.py index e69de29bb..467079831 100644 --- a/responses_api_agents/verifiers_agent/__init__.py +++ b/responses_api_agents/verifiers_agent/__init__.py @@ -0,0 +1,14 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. diff --git a/responses_api_agents/verifiers_agent/app.py b/responses_api_agents/verifiers_agent/app.py index 5f235541e..d9acb53c4 100644 --- a/responses_api_agents/verifiers_agent/app.py +++ b/responses_api_agents/verifiers_agent/app.py @@ -1,4 +1,4 @@ -# Copyright (c) 2025, NVIDIA CORPORATION. All rights reserved. +# Copyright (c) 2026, NVIDIA CORPORATION. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. @@ -16,8 +16,8 @@ import uuid from typing import Any -import aiohttp import verifiers as vf +from fastapi import Body, Request, Response from openai import AsyncOpenAI from openai.resources.chat import AsyncChat from openai.resources.chat.completions import AsyncCompletions @@ -28,20 +28,25 @@ from nemo_gym.base_resources_server import BaseRunRequest from nemo_gym.base_responses_api_agent import BaseResponsesAPIAgentConfig, SimpleResponsesAPIAgent from nemo_gym.config_types import ModelServerRef, ResourcesServerRef -from nemo_gym.openai_utils import NeMoGymResponseCreateParamsNonStreaming +from nemo_gym.global_config import get_first_server_config_dict +from nemo_gym.openai_utils import ( + NeMoGymEasyInputMessage, + NeMoGymResponseCreateParamsNonStreaming, + NeMoGymResponseOutputMessage, + NeMoGymResponseOutputMessageForTraining, + NeMoGymResponseOutputText, +) +from nemo_gym.server_utils import get_global_aiohttp_client from resources_servers.verifiers.schemas import ( - VerifiersAgentVerifyRequest, VerifiersAgentVerifyResponse, VerifiersNeMoGymResponse, ) - +from resources_servers.verifiers.utils import load_verifiers_dataset logger = logging.getLogger(__name__) - class _VLLMChatCompletions(AsyncCompletions): - """adapt vllm_model format to verifiers expected format""" def __init__(self, base_url: str) -> None: self._base_url = base_url.rstrip("/") @@ -56,15 +61,15 @@ async def create(self, *args: Any, **kwargs: Any) -> ChatCompletion: url = f"{self._base_url}/chat/completions" try: - async with aiohttp.ClientSession() as session: - async with session.post(url, json=request_body) as resp: - if resp.status != 200: - error_text = await resp.text() - logger.error(f"[verifiers_agent] Request to {url} failed with status {resp.status}: {error_text[:500]}") - resp.raise_for_status() - response_dict = await resp.json() + session = get_global_aiohttp_client() + async with session.post(url, json=request_body) as resp: + if resp.status != 200: + error_text = await resp.text() + logger.error(f"Request to {url} failed with status {resp.status}: {error_text}") + resp.raise_for_status() + response_dict = await resp.json() except Exception as e: - logger.error(f"[verifiers_agent] Exception calling {url}: {type(e).__name__}: {e}") + logger.error(f"Exception calling {url}: {type(e).__name__}: {e}") raise choice_dict = response_dict["choices"][0] @@ -75,7 +80,7 @@ async def create(self, *args: Any, **kwargs: Any) -> ChatCompletion: generation_log_probs = message_dict.pop("generation_log_probs", []) if not generation_token_ids: - logger.warning(f"[verifiers_agent] No generation_token_ids in response! Full message keys were: {list(choice_dict.get('message', {}).keys())}") + logger.warning(f"No generation_token_ids in response! Full message keys were: {list(choice_dict.get('message', {}).keys())}") if generation_token_ids and isinstance(generation_token_ids[0], str): generation_token_ids = [int(tid) for tid in generation_token_ids] @@ -104,7 +109,6 @@ def completions(self) -> AsyncCompletions: class VLLMOpenAIClient(AsyncOpenAI): - """OpenAI-compatible client wrapping vllm_model.""" def __init__(self, base_url: str) -> None: super().__init__(api_key="dummy", base_url=base_url) self._chat = _VLLMChat(base_url) @@ -147,65 +151,34 @@ class VerifiersAgentRunRequest(BaseRunRequest): info: dict = Field(default_factory=dict, description="Extra info for scoring") -_ENVS_CACHE: dict[str, vf.Environment] = {} -_ENV_IDS_CACHE: dict[str, str] = {} -_DATASET_ROWS_CACHE: dict[str, list[dict]] = {} -_OPENAI_CLIENT_CACHE: dict[str, "VLLMOpenAIClient"] = {} - - class VerifiersAgent(SimpleResponsesAPIAgent): - """Uses vf_env.run_group() with an AsyncOpenAI client pointing to the vLLM model server.""" model_config = ConfigDict(arbitrary_types_allowed=True) config: VerifiersAgentConfig + envs_cache: dict[str, vf.Environment] = Field(default_factory=dict) + env_ids_cache: dict[str, str] = Field(default_factory=dict) + dataset_rows_cache: dict[str, list[dict]] = Field(default_factory=dict) + openai_client_cache: dict[str, VLLMOpenAIClient] = Field(default_factory=dict) + async def _ensure_env_loaded(self, vf_env_id: str) -> tuple[vf.Environment, str, list[dict]]: - if vf_env_id in _ENVS_CACHE: - return _ENVS_CACHE[vf_env_id], _ENV_IDS_CACHE[vf_env_id], _DATASET_ROWS_CACHE[vf_env_id] + if vf_env_id in self.envs_cache: + return self.envs_cache[vf_env_id], self.env_ids_cache[vf_env_id], self.dataset_rows_cache[vf_env_id] env_id = f"{vf_env_id}-{uuid.uuid4().hex[:8]}" logger.info(f"Loading verifiers environment: {vf_env_id}") vf_env = vf.load_environment(vf_env_id, **self.config.vf_env_args) + dataset_rows = load_verifiers_dataset(vf_env, n=self.config.dataset_n, seed=self.config.dataset_seed) - # TODO: is there more standard way in verifiers.. check prime rl - try: - dataset = vf_env.get_dataset(n=self.config.dataset_n, seed=self.config.dataset_seed) - except ValueError: - dataset = None - for attr in ['dataset', 'train_dataset', 'eval_dataset']: - ds = getattr(vf_env, attr, None) - if ds is not None: - dataset = ds - break - if dataset is None: - raise ValueError(f"Environment {vf_env_id} does not have a dataset") - if self.config.dataset_seed is not None: - dataset = dataset.shuffle(seed=self.config.dataset_seed) - if self.config.dataset_n > 0: - dataset = dataset.select(range(min(self.config.dataset_n, len(dataset)))) - - dataset_rows = [ - { - "prompt": dataset["prompt"][i], - "example_id": dataset["example_id"][i], - "task": dataset["task"][i], - **({"answer": dataset["answer"][i]} if "answer" in dataset.column_names else {}), - **({"info": dataset["info"][i]} if "info" in dataset.column_names else {}), - } - for i in range(len(dataset)) - ] - - _ENVS_CACHE[vf_env_id] = vf_env - _ENV_IDS_CACHE[vf_env_id] = env_id - _DATASET_ROWS_CACHE[vf_env_id] = dataset_rows + self.envs_cache[vf_env_id] = vf_env + self.env_ids_cache[vf_env_id] = env_id + self.dataset_rows_cache[vf_env_id] = dataset_rows return vf_env, env_id, dataset_rows def _get_openai_client(self) -> VLLMOpenAIClient: cache_key = self.config.model_server.name - if cache_key not in _OPENAI_CLIENT_CACHE: - from nemo_gym.global_config import get_first_server_config_dict - + if cache_key not in self.openai_client_cache: server_config_dict = get_first_server_config_dict( self.server_client.global_config_dict, self.config.model_server.name, @@ -215,18 +188,11 @@ def _get_openai_client(self) -> VLLMOpenAIClient: if not model_server_url.endswith("/v1"): model_server_url = model_server_url.rstrip("/") + "/v1" - _OPENAI_CLIENT_CACHE[cache_key] = VLLMOpenAIClient(base_url=model_server_url) + self.openai_client_cache[cache_key] = VLLMOpenAIClient(base_url=model_server_url) - return _OPENAI_CLIENT_CACHE[cache_key] + return self.openai_client_cache[cache_key] def _convert_trajectory_to_output(self, state: dict) -> list: - from nemo_gym.openai_utils import ( - NeMoGymEasyInputMessage, - NeMoGymResponseOutputMessage, - NeMoGymResponseOutputMessageForTraining, - NeMoGymResponseOutputText, - ) - output = [] trajectory = state.get("trajectory", []) @@ -257,15 +223,20 @@ def _convert_trajectory_to_output(self, state: dict) -> list: return output - async def responses(self, req: VerifiersAgentRunRequest) -> VerifiersNeMoGymResponse: + async def responses( + self, + request: Request, + response: Response, + body: VerifiersAgentRunRequest = Body(), + ) -> VerifiersNeMoGymResponse: try: - vf_env_id = req.vf_env_id or self.config.vf_env_id + vf_env_id = body.vf_env_id or self.config.vf_env_id vf_env, env_id, _ = await self._ensure_env_loaded(vf_env_id) - task_idx = req.task_idx + task_idx = body.task_idx prompt_messages = [] - for item in req.responses_create_params.input or []: + for item in body.responses_create_params.input or []: if hasattr(item, 'role') and hasattr(item, 'content'): prompt_messages.append({"role": item.role, "content": item.content}) elif isinstance(item, dict): @@ -273,10 +244,10 @@ async def responses(self, req: VerifiersAgentRunRequest) -> VerifiersNeMoGymResp rollout_input = vf.RolloutInput( prompt=prompt_messages, - answer=req.answer, - task=req.task, - info=req.info, - example_id=req.example_id, + answer=body.answer, + task=body.task, + info=body.info, + example_id=body.example_id, ) client = self._get_openai_client() @@ -316,16 +287,21 @@ async def responses(self, req: VerifiersAgentRunRequest) -> VerifiersNeMoGymResp metrics=metrics, ) except Exception as e: - logger.error(f"[verifiers_agent] EXCEPTION in responses(): {type(e).__name__}: {e}") - logger.error(f"[verifiers_agent] Traceback:\n{traceback.format_exc()}") + logger.error(f"Exception in responses(): {type(e).__name__}: {e}") + logger.error(f"Traceback:\n{traceback.format_exc()}") raise - async def run(self, body: VerifiersAgentRunRequest) -> VerifiersAgentVerifyResponse: - response = await self.responses(body) + async def run( + self, + request: Request, + response: Response, + body: VerifiersAgentRunRequest = Body(), + ) -> VerifiersAgentVerifyResponse: + resp = await self.responses(request, response, body) return VerifiersAgentVerifyResponse( responses_create_params=body.responses_create_params, - response=response, - reward=response.reward, + response=resp, + reward=resp.reward, ) diff --git a/responses_api_agents/verifiers_agent/requirements.txt b/responses_api_agents/verifiers_agent/requirements.txt index e5a87955f..ea410a6ab 100644 --- a/responses_api_agents/verifiers_agent/requirements.txt +++ b/responses_api_agents/verifiers_agent/requirements.txt @@ -1,11 +1,10 @@ -e nemo-gym[dev] @ ../../ verifiers>=0.1.9 ---extra-index-url https://hub.primeintellect.ai/primeintellect/simple/ -reverse-text -math-python +--extra-index-url https://hub.primeintellect.ai/belharethsami/simple/ +ascii-grid-maze +--extra-index-url https://hub.primeintellect.ai/will/simple/ wordle -aime2025 -ifeval +--extra-index-url https://hub.primeintellect.ai/kalomaze/simple/ alphabet-sort -i3-math +--extra-index-url https://hub.primeintellect.ai/primeintellect/simple/ acereason-math From 6ed3af85b761a4165d1e7750d323d4546da017ef Mon Sep 17 00:00:00 2001 From: cmunley1 <cmunley@nvidia.com> Date: Mon, 12 Jan 2026 17:25:16 -0800 Subject: [PATCH 10/31] lint! Signed-off-by: cmunley1 <cmunley@nvidia.com> --- resources_servers/verifiers/app.py | 10 ++-- resources_servers/verifiers/schemas.py | 14 ++++++ .../verifiers/scripts/create_dataset.py | 2 + resources_servers/verifiers/utils.py | 6 ++- responses_api_agents/verifiers_agent/app.py | 46 +++++++++++++------ 5 files changed, 57 insertions(+), 21 deletions(-) diff --git a/resources_servers/verifiers/app.py b/resources_servers/verifiers/app.py index 633f8b6cc..6591eeb89 100644 --- a/resources_servers/verifiers/app.py +++ b/resources_servers/verifiers/app.py @@ -15,12 +15,8 @@ import uuid from typing import Any -import verifiers as vf from fastapi import FastAPI, Request from pydantic import ConfigDict, Field - -from nemo_gym.base_resources_server import SimpleResourcesServer - from schemas import ( VerifiersCloseRequest, VerifiersCloseResponse, @@ -34,8 +30,13 @@ ) from utils import load_verifiers_dataset +import verifiers as vf +from nemo_gym.base_resources_server import SimpleResourcesServer + + logger = logging.getLogger(__name__) + class VerifiersResourcesServer(SimpleResourcesServer): model_config = ConfigDict(arbitrary_types_allowed=True) @@ -108,5 +109,6 @@ def get_dataset_rows(self, env_id: str) -> list[dict[str, Any]]: raise ValueError(f"Unknown env_id: {env_id}") return self.env_id_to_dataset[env_id] + if __name__ == "__main__": VerifiersResourcesServer.run_webserver() diff --git a/resources_servers/verifiers/schemas.py b/resources_servers/verifiers/schemas.py index f00e983e4..6d390c93b 100644 --- a/resources_servers/verifiers/schemas.py +++ b/resources_servers/verifiers/schemas.py @@ -24,20 +24,24 @@ ) from nemo_gym.openai_utils import NeMoGymResponse + class VerifiersResourcesServerConfig(BaseResourcesServerConfig): pass + class VerifiersSeedSessionRequest(BaseSeedSessionRequest): vf_env_id: str = Field(description="The verifiers environment ID to load") vf_env_args: dict = Field(default_factory=dict, description="Arguments to pass to the environment") dataset_n: int = Field(default=-1, description="Number of examples to load (-1 for all)") dataset_seed: int | None = Field(default=None, description="Seed for dataset shuffling") + class VerifiersSeedSessionResponse(BaseSeedSessionResponse): env_id: str = Field(description="Unique ID for this environment session") dataset_length: int = Field(description="Number of examples in the dataset") vf_env_id: str = Field(description="The verifiers environment ID that was loaded") + class VerifiersRunRequest(BaseModel): env_id: str = Field(description="Environment session ID from seed_session") task_indices: list[int] = Field(description="Indices of examples to run") @@ -46,18 +50,22 @@ class VerifiersRunRequest(BaseModel): max_concurrent_generation: int = Field(default=-1, description="Max concurrent generation requests") max_concurrent_scoring: int = Field(default=-1, description="Max concurrent scoring requests") + class VerifiersRunResponse(BaseModel): states: list[dict[str, Any]] = Field(description="Verifiers State objects (serialized)") rewards: list[float] = Field(description="Rewards for each rollout") metrics: list[dict[str, Any]] = Field(description="Metrics for each rollout") + class VerifiersCloseRequest(BaseModel): env_id: str + class VerifiersCloseResponse(BaseModel): message: str success: bool + class VerifiersNeMoGymResponse(NeMoGymResponse): env_id: str group_id: str @@ -69,17 +77,21 @@ class VerifiersNeMoGymResponse(NeMoGymResponse): tool_choice: str = "none" tools: list = Field(default_factory=list) + class VerifiersAgentVerifyRequest(BaseVerifyRequest): model_config = ConfigDict(extra="allow") response: VerifiersNeMoGymResponse + class VerifiersAgentVerifyResponse(VerifiersAgentVerifyRequest, BaseVerifyResponse): model_config = ConfigDict(extra="allow") + class VerifiersGetExampleRequest(BaseModel): env_id: str task_idx: int + class VerifiersGetExampleResponse(BaseModel): model_config = ConfigDict(extra="allow") prompt: list[dict[str, Any]] @@ -88,10 +100,12 @@ class VerifiersGetExampleResponse(BaseModel): answer: str | None = None info: dict | None = None + class VerifiersVerifyRequest(BaseVerifyRequest): model_config = ConfigDict(extra="allow") response: dict[str, Any] + class VerifiersVerifyResponse(BaseVerifyResponse): model_config = ConfigDict(extra="allow") reward: float diff --git a/resources_servers/verifiers/scripts/create_dataset.py b/resources_servers/verifiers/scripts/create_dataset.py index 4ab8481da..da6b434fb 100644 --- a/resources_servers/verifiers/scripts/create_dataset.py +++ b/resources_servers/verifiers/scripts/create_dataset.py @@ -18,9 +18,11 @@ import verifiers as vf + sys.path.insert(0, str(Path(__file__).parent.parent)) from utils import load_verifiers_dataset + def main(): parser = argparse.ArgumentParser(description="Create dataset from verifiers environment") parser.add_argument("--env-id", required=True, help="Verifiers environment ID (e.g., reverse-text)") diff --git a/resources_servers/verifiers/utils.py b/resources_servers/verifiers/utils.py index e1edb3fcb..2822529ef 100644 --- a/resources_servers/verifiers/utils.py +++ b/resources_servers/verifiers/utils.py @@ -16,19 +16,21 @@ import verifiers as vf + logger = logging.getLogger(__name__) + def load_verifiers_dataset( vf_env: vf.Environment, n: int = -1, seed: int | None = None, ) -> list[dict[str, Any]]: - # TODO: Is there a more standard way in verifiers to get the dataset? check prime? + # TODO: Is there a more standard way in verifiers to get the dataset? check prime? try: dataset = vf_env.get_dataset(n=n, seed=seed) except ValueError: dataset = None - for attr in ['dataset', 'train_dataset', 'eval_dataset']: + for attr in ["dataset", "train_dataset", "eval_dataset"]: ds = getattr(vf_env, attr, None) if ds is not None: dataset = ds diff --git a/responses_api_agents/verifiers_agent/app.py b/responses_api_agents/verifiers_agent/app.py index d9acb53c4..957bf1379 100644 --- a/responses_api_agents/verifiers_agent/app.py +++ b/responses_api_agents/verifiers_agent/app.py @@ -37,15 +37,16 @@ NeMoGymResponseOutputText, ) from nemo_gym.server_utils import get_global_aiohttp_client - from resources_servers.verifiers.schemas import ( VerifiersAgentVerifyResponse, VerifiersNeMoGymResponse, ) from resources_servers.verifiers.utils import load_verifiers_dataset + logger = logging.getLogger(__name__) + class _VLLMChatCompletions(AsyncCompletions): def __init__(self, base_url: str) -> None: self._base_url = base_url.rstrip("/") @@ -55,7 +56,16 @@ async def create(self, *args: Any, **kwargs: Any) -> ChatCompletion: "model": kwargs.get("model", ""), "messages": kwargs.get("messages", []), } - for key in ("temperature", "max_tokens", "max_completion_tokens", "top_p", "stop", "n", "tools", "tool_choice"): + for key in ( + "temperature", + "max_tokens", + "max_completion_tokens", + "top_p", + "stop", + "n", + "tools", + "tool_choice", + ): if key in kwargs and kwargs[key] is not None: request_body[key] = kwargs[key] @@ -80,7 +90,9 @@ async def create(self, *args: Any, **kwargs: Any) -> ChatCompletion: generation_log_probs = message_dict.pop("generation_log_probs", []) if not generation_token_ids: - logger.warning(f"No generation_token_ids in response! Full message keys were: {list(choice_dict.get('message', {}).keys())}") + logger.warning( + f"No generation_token_ids in response! Full message keys were: {list(choice_dict.get('message', {}).keys())}" + ) if generation_token_ids and isinstance(generation_token_ids[0], str): generation_token_ids = [int(tid) for tid in generation_token_ids] @@ -208,18 +220,22 @@ def _convert_trajectory_to_output(self, state: dict) -> list: if isinstance(msg, dict): content = msg.get("content", "") if tokens: - output.append(NeMoGymResponseOutputMessageForTraining( - id=f"msg_{id(msg)}", - content=[NeMoGymResponseOutputText(text=content, annotations=[])], - prompt_token_ids=tokens.get("prompt_ids", []), - generation_token_ids=tokens.get("completion_ids", []), - generation_log_probs=tokens.get("completion_logprobs", []), - ).model_dump()) + output.append( + NeMoGymResponseOutputMessageForTraining( + id=f"msg_{id(msg)}", + content=[NeMoGymResponseOutputText(text=content, annotations=[])], + prompt_token_ids=tokens.get("prompt_ids", []), + generation_token_ids=tokens.get("completion_ids", []), + generation_log_probs=tokens.get("completion_logprobs", []), + ).model_dump() + ) else: - output.append(NeMoGymResponseOutputMessage( - id=f"msg_{id(msg)}", - content=[NeMoGymResponseOutputText(text=content, annotations=[])], - ).model_dump()) + output.append( + NeMoGymResponseOutputMessage( + id=f"msg_{id(msg)}", + content=[NeMoGymResponseOutputText(text=content, annotations=[])], + ).model_dump() + ) return output @@ -237,7 +253,7 @@ async def responses( prompt_messages = [] for item in body.responses_create_params.input or []: - if hasattr(item, 'role') and hasattr(item, 'content'): + if hasattr(item, "role") and hasattr(item, "content"): prompt_messages.append({"role": item.role, "content": item.content}) elif isinstance(item, dict): prompt_messages.append({"role": item.get("role", "user"), "content": item.get("content", "")}) From 03a674576621073e3e1b4328df880ff42140ff8e Mon Sep 17 00:00:00 2001 From: cmunley1 <cmunley@nvidia.com> Date: Mon, 12 Jan 2026 17:44:00 -0800 Subject: [PATCH 11/31] tests Signed-off-by: cmunley1 <cmunley@nvidia.com> --- resources_servers/verifiers/app.py | 4 +- resources_servers/verifiers/schemas.py | 1 + resources_servers/verifiers/tests/__init__.py | 14 +++ resources_servers/verifiers/tests/test_app.py | 88 +++++++++++++++++++ resources_servers/verifiers/utils.py | 2 + responses_api_agents/verifiers_agent/app.py | 4 +- .../verifiers_agent/tests/__init__.py | 14 +++ .../verifiers_agent/tests/test_app.py | 76 ++++++++++++++++ 8 files changed, 201 insertions(+), 2 deletions(-) create mode 100644 resources_servers/verifiers/tests/__init__.py create mode 100644 resources_servers/verifiers/tests/test_app.py create mode 100644 responses_api_agents/verifiers_agent/tests/__init__.py create mode 100644 responses_api_agents/verifiers_agent/tests/test_app.py diff --git a/resources_servers/verifiers/app.py b/resources_servers/verifiers/app.py index 6591eeb89..61d36c52e 100644 --- a/resources_servers/verifiers/app.py +++ b/resources_servers/verifiers/app.py @@ -11,6 +11,8 @@ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. +from __future__ import annotations + import logging import uuid from typing import Any @@ -41,7 +43,7 @@ class VerifiersResourcesServer(SimpleResourcesServer): model_config = ConfigDict(arbitrary_types_allowed=True) config: VerifiersResourcesServerConfig - env_id_to_env: dict[str, vf.Environment] = Field(default_factory=dict) + env_id_to_env: dict[str, Any] = Field(default_factory=dict) # vf.Environment env_id_to_dataset: dict[str, list[dict[str, Any]]] = Field(default_factory=dict) def setup_webserver(self) -> FastAPI: diff --git a/resources_servers/verifiers/schemas.py b/resources_servers/verifiers/schemas.py index 6d390c93b..ee863e368 100644 --- a/resources_servers/verifiers/schemas.py +++ b/resources_servers/verifiers/schemas.py @@ -108,4 +108,5 @@ class VerifiersVerifyRequest(BaseVerifyRequest): class VerifiersVerifyResponse(BaseVerifyResponse): model_config = ConfigDict(extra="allow") + response: dict[str, Any] reward: float diff --git a/resources_servers/verifiers/tests/__init__.py b/resources_servers/verifiers/tests/__init__.py new file mode 100644 index 000000000..467079831 --- /dev/null +++ b/resources_servers/verifiers/tests/__init__.py @@ -0,0 +1,14 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. diff --git a/resources_servers/verifiers/tests/test_app.py b/resources_servers/verifiers/tests/test_app.py new file mode 100644 index 000000000..6c8d2b063 --- /dev/null +++ b/resources_servers/verifiers/tests/test_app.py @@ -0,0 +1,88 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +from unittest.mock import MagicMock + +from app import VerifiersResourcesServer, VerifiersResourcesServerConfig +from schemas import ( + VerifiersGetExampleRequest, + VerifiersVerifyRequest, +) + +from nemo_gym.server_utils import ServerClient + + +class TestApp: + def test_sanity(self) -> None: + config = VerifiersResourcesServerConfig(host="0.0.0.0", port=8080, entrypoint="", name="") + VerifiersResourcesServer(config=config, server_client=MagicMock(spec=ServerClient)) + + async def test_get_example(self) -> None: + config = VerifiersResourcesServerConfig(host="0.0.0.0", port=8080, entrypoint="", name="") + server = VerifiersResourcesServer(config=config, server_client=MagicMock(spec=ServerClient)) + + test_env_id = "test-env-123" + server.env_id_to_dataset[test_env_id] = [ + { + "prompt": [{"role": "user", "content": "Sort: b, a, c"}], + "example_id": 0, + "task": "sort", + "answer": "a, b, c", + }, + { + "prompt": [{"role": "user", "content": "Sort: z, y, x"}], + "example_id": 1, + "task": "sort", + "answer": "x, y, z", + }, + ] + + request = MagicMock() + body = VerifiersGetExampleRequest(env_id=test_env_id, task_idx=0) + + result = await server.get_example(request, body) + assert result.prompt == [{"role": "user", "content": "Sort: b, a, c"}] + assert result.example_id == 0 + assert result.task == "sort" + assert result.answer == "a, b, c" + + async def test_get_example_second_item(self) -> None: + config = VerifiersResourcesServerConfig(host="0.0.0.0", port=8080, entrypoint="", name="") + server = VerifiersResourcesServer(config=config, server_client=MagicMock(spec=ServerClient)) + + test_env_id = "test-env-456" + server.env_id_to_dataset[test_env_id] = [ + {"prompt": [{"role": "user", "content": "Q1"}], "example_id": 0, "task": "test"}, + {"prompt": [{"role": "user", "content": "Q2"}], "example_id": 1, "task": "test"}, + ] + + request = MagicMock() + body = VerifiersGetExampleRequest(env_id=test_env_id, task_idx=1) + + result = await server.get_example(request, body) + assert result.prompt == [{"role": "user", "content": "Q2"}] + assert result.example_id == 1 + + async def test_verify(self) -> None: + config = VerifiersResourcesServerConfig(host="0.0.0.0", port=8080, entrypoint="", name="") + server = VerifiersResourcesServer(config=config, server_client=MagicMock(spec=ServerClient)) + + request = MagicMock() + body = VerifiersVerifyRequest( + responses_create_params={"input": []}, + response={"reward": 0.75, "output": []}, + ) + + result = await server.verify(request, body) + assert result.reward == 0.75 diff --git a/resources_servers/verifiers/utils.py b/resources_servers/verifiers/utils.py index 2822529ef..869e8e7d1 100644 --- a/resources_servers/verifiers/utils.py +++ b/resources_servers/verifiers/utils.py @@ -11,6 +11,8 @@ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. +from __future__ import annotations + import logging from typing import Any diff --git a/responses_api_agents/verifiers_agent/app.py b/responses_api_agents/verifiers_agent/app.py index 957bf1379..1b180939c 100644 --- a/responses_api_agents/verifiers_agent/app.py +++ b/responses_api_agents/verifiers_agent/app.py @@ -11,6 +11,8 @@ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. +from __future__ import annotations + import logging import traceback import uuid @@ -167,7 +169,7 @@ class VerifiersAgent(SimpleResponsesAPIAgent): model_config = ConfigDict(arbitrary_types_allowed=True) config: VerifiersAgentConfig - envs_cache: dict[str, vf.Environment] = Field(default_factory=dict) + envs_cache: dict[str, Any] = Field(default_factory=dict) # vf.Environment env_ids_cache: dict[str, str] = Field(default_factory=dict) dataset_rows_cache: dict[str, list[dict]] = Field(default_factory=dict) openai_client_cache: dict[str, VLLMOpenAIClient] = Field(default_factory=dict) diff --git a/responses_api_agents/verifiers_agent/tests/__init__.py b/responses_api_agents/verifiers_agent/tests/__init__.py new file mode 100644 index 000000000..467079831 --- /dev/null +++ b/responses_api_agents/verifiers_agent/tests/__init__.py @@ -0,0 +1,14 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. diff --git a/responses_api_agents/verifiers_agent/tests/test_app.py b/responses_api_agents/verifiers_agent/tests/test_app.py new file mode 100644 index 000000000..112836ff6 --- /dev/null +++ b/responses_api_agents/verifiers_agent/tests/test_app.py @@ -0,0 +1,76 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +from unittest.mock import MagicMock + +from app import ( + VerifiersAgent, + VerifiersAgentConfig, + VerifiersAgentRunRequest, + VLLMOpenAIClient, +) + +from nemo_gym.config_types import ModelServerRef, ResourcesServerRef +from nemo_gym.openai_utils import NeMoGymResponseCreateParamsNonStreaming +from nemo_gym.server_utils import ServerClient + + +class TestApp: + def test_sanity(self) -> None: + config = VerifiersAgentConfig( + host="0.0.0.0", + port=8080, + entrypoint="", + name="", + resources_server=ResourcesServerRef(type="resources_servers", name=""), + model_server=ModelServerRef(type="responses_api_models", name=""), + ) + VerifiersAgent(config=config, server_client=MagicMock(spec=ServerClient)) + + def test_vllm_openai_client_init(self) -> None: + client = VLLMOpenAIClient(base_url="http://localhost:8000/v1") + assert client.chat is not None + assert client.chat.completions is not None + + def test_verifiers_agent_run_request(self) -> None: + req = VerifiersAgentRunRequest( + task_idx=0, + vf_env_id="test-env", + responses_create_params=NeMoGymResponseCreateParamsNonStreaming( + input=[{"role": "user", "content": "Sort: c, b, a"}] + ), + answer="a, b, c", + task="sort", + example_id=42, + ) + assert req.task_idx == 0 + assert req.vf_env_id == "test-env" + assert req.answer == "a, b, c" + assert req.task == "sort" + assert req.example_id == 42 + + def test_agent_caches_are_instance_level(self) -> None: + config = VerifiersAgentConfig( + host="0.0.0.0", + port=8080, + entrypoint="", + name="", + resources_server=ResourcesServerRef(type="resources_servers", name=""), + model_server=ModelServerRef(type="responses_api_models", name=""), + ) + agent1 = VerifiersAgent(config=config, server_client=MagicMock(spec=ServerClient)) + agent2 = VerifiersAgent(config=config, server_client=MagicMock(spec=ServerClient)) + + agent1.envs_cache["test"] = MagicMock() + assert "test" not in agent2.envs_cache From d32ba0c21ab807317a768b73f7ed526e14b417ad Mon Sep 17 00:00:00 2001 From: cmunley1 <cmunley@nvidia.com> Date: Mon, 12 Jan 2026 22:38:46 -0800 Subject: [PATCH 12/31] remove resources server Signed-off-by: cmunley1 <cmunley@nvidia.com> --- resources_servers/verifiers/README.md | 49 -------- resources_servers/verifiers/__init__.py | 14 --- resources_servers/verifiers/app.py | 116 ------------------ .../verifiers/configs/verifiers.yaml | 27 ---- .../data/example-ifeval-rollouts.jsonl | 5 - .../verifiers/data/example-ifeval.jsonl | 5 - .../data/example-math-python-rollouts.jsonl | 10 -- .../verifiers/data/example-math-python.jsonl | 5 - .../verifiers/data/example-reverse-text.jsonl | 5 - .../data/example-wordle-rollouts.jsonl | 5 - .../verifiers/data/example-wordle.jsonl | 5 - resources_servers/verifiers/requirements.txt | 11 -- resources_servers/verifiers/schemas.py | 112 ----------------- resources_servers/verifiers/tests/__init__.py | 14 --- resources_servers/verifiers/tests/test_app.py | 88 ------------- resources_servers/verifiers/utils.py | 57 --------- responses_api_agents/verifiers_agent/app.py | 82 ++++++------- .../configs/verifiers_acereason-math.yaml | 16 +++ .../data/acereason-math-example.jsonl | 5 + .../verifiers_agent/requirements.txt | 2 + .../scripts/create_dataset.py | 45 ++++++- .../verifiers_agent/tests/test_app.py | 48 +------- 22 files changed, 106 insertions(+), 620 deletions(-) delete mode 100644 resources_servers/verifiers/README.md delete mode 100644 resources_servers/verifiers/__init__.py delete mode 100644 resources_servers/verifiers/app.py delete mode 100644 resources_servers/verifiers/configs/verifiers.yaml delete mode 100644 resources_servers/verifiers/data/example-ifeval-rollouts.jsonl delete mode 100644 resources_servers/verifiers/data/example-ifeval.jsonl delete mode 100644 resources_servers/verifiers/data/example-math-python-rollouts.jsonl delete mode 100644 resources_servers/verifiers/data/example-math-python.jsonl delete mode 100644 resources_servers/verifiers/data/example-reverse-text.jsonl delete mode 100644 resources_servers/verifiers/data/example-wordle-rollouts.jsonl delete mode 100644 resources_servers/verifiers/data/example-wordle.jsonl delete mode 100644 resources_servers/verifiers/requirements.txt delete mode 100644 resources_servers/verifiers/schemas.py delete mode 100644 resources_servers/verifiers/tests/__init__.py delete mode 100644 resources_servers/verifiers/tests/test_app.py delete mode 100644 resources_servers/verifiers/utils.py create mode 100644 responses_api_agents/verifiers_agent/configs/verifiers_acereason-math.yaml create mode 100644 responses_api_agents/verifiers_agent/data/acereason-math-example.jsonl rename {resources_servers/verifiers => responses_api_agents/verifiers_agent}/scripts/create_dataset.py (60%) diff --git a/resources_servers/verifiers/README.md b/resources_servers/verifiers/README.md deleted file mode 100644 index ece7b63c0..000000000 --- a/resources_servers/verifiers/README.md +++ /dev/null @@ -1,49 +0,0 @@ -# Verifiers Integration for NeMo Gym - -Integration of [verifiers](https://github.com/primeintellect-ai/verifiers) environments with NeMo Gym. - -From verifiers' readme: "Verifiers is a library for creating RL environments for LLMs." It includes many community implementations on Prime Intellect's [Environments Hub](https://app.primeintellect.ai/dashboard/environments). - -## Installation - -Install verifiers and an environment from the Environments Hub: - -```bash -uv add verifiers -uv tool install prime -prime env install primeintellect/acereason-math -``` - -Currently the environment package must also be listed in the `requirements.txt` files for both the resource server and agent, since they run in isolated venvs. For example: - -``` ---extra-index-url https://hub.primeintellect.ai/primeintellect/simple/ -acereason-math -``` -i -## Dataset Prep - -**Create dataset from verifiers environment:** -```bash -python resources_servers/verifiers/scripts/create_dataset.py \ - --env-id acereason-math \ - --size 5 \ - --output resources_servers/verifiers/data/acereason_math_example.jsonl -``` - -## Rollout Collection - -```bash -ng_run "+config_paths=[resources_servers/verifiers/configs/verifiers.yaml,responses_api_models/vllm_model/configs/vllm_model.yaml]" -``` - -```bash -ng_collect_rollouts \ - +agent_name=verifiers_agent \ - +input_jsonl_fpath=resources_servers/verifiers/data/acereason_math_example.jsonl \ - +output_jsonl_fpath=results/verifiers_rollouts.jsonl \ - +limit=5 -``` - - -See [Environments Hub](https://app.primeintellect.ai/dashboard/environments) for available environments. Only some are tested within NeMo Gym currently. diff --git a/resources_servers/verifiers/__init__.py b/resources_servers/verifiers/__init__.py deleted file mode 100644 index 467079831..000000000 --- a/resources_servers/verifiers/__init__.py +++ /dev/null @@ -1,14 +0,0 @@ -# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. -# SPDX-License-Identifier: Apache-2.0 -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. diff --git a/resources_servers/verifiers/app.py b/resources_servers/verifiers/app.py deleted file mode 100644 index 61d36c52e..000000000 --- a/resources_servers/verifiers/app.py +++ /dev/null @@ -1,116 +0,0 @@ -# Copyright (c) 2026, NVIDIA CORPORATION. All rights reserved. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -from __future__ import annotations - -import logging -import uuid -from typing import Any - -from fastapi import FastAPI, Request -from pydantic import ConfigDict, Field -from schemas import ( - VerifiersCloseRequest, - VerifiersCloseResponse, - VerifiersGetExampleRequest, - VerifiersGetExampleResponse, - VerifiersResourcesServerConfig, - VerifiersSeedSessionRequest, - VerifiersSeedSessionResponse, - VerifiersVerifyRequest, - VerifiersVerifyResponse, -) -from utils import load_verifiers_dataset - -import verifiers as vf -from nemo_gym.base_resources_server import SimpleResourcesServer - - -logger = logging.getLogger(__name__) - - -class VerifiersResourcesServer(SimpleResourcesServer): - model_config = ConfigDict(arbitrary_types_allowed=True) - - config: VerifiersResourcesServerConfig - env_id_to_env: dict[str, Any] = Field(default_factory=dict) # vf.Environment - env_id_to_dataset: dict[str, list[dict[str, Any]]] = Field(default_factory=dict) - - def setup_webserver(self) -> FastAPI: - app = super().setup_webserver() - app.post("/close")(self.close) - app.post("/get_example")(self.get_example) - return app - - async def seed_session(self, request: Request, body: VerifiersSeedSessionRequest) -> VerifiersSeedSessionResponse: - env_id = str(uuid.uuid4()) - vf_env = vf.load_environment(body.vf_env_id, **body.vf_env_args) - - rows = load_verifiers_dataset(vf_env, n=body.dataset_n, seed=body.dataset_seed) - - self.env_id_to_env[env_id] = vf_env - self.env_id_to_dataset[env_id] = rows - - logger.info(f"Loaded verifiers environment '{body.vf_env_id}' with {len(rows)} examples (env_id={env_id})") - - return VerifiersSeedSessionResponse( - env_id=env_id, - dataset_length=len(rows), - vf_env_id=body.vf_env_id, - ) - - async def get_example(self, request: Request, body: VerifiersGetExampleRequest) -> VerifiersGetExampleResponse: - env_id = body.env_id - task_idx = body.task_idx - - if env_id not in self.env_id_to_dataset: - raise ValueError(f"Unknown env_id: {env_id}") - - rows = self.env_id_to_dataset[env_id] - if task_idx < 0 or task_idx >= len(rows): - raise ValueError(f"task_idx {task_idx} out of range [0, {len(rows)})") - - return VerifiersGetExampleResponse(**rows[task_idx]) - - async def verify(self, request: Request, body: VerifiersVerifyRequest) -> VerifiersVerifyResponse: - response = body.response - reward = response.get("reward", 0.0) - return VerifiersVerifyResponse(**body.model_dump(), reward=reward) - - async def close(self, request: Request, body: VerifiersCloseRequest) -> VerifiersCloseResponse: - env_id = body.env_id - - try: - if env_id in self.env_id_to_env: - del self.env_id_to_env[env_id] - if env_id in self.env_id_to_dataset: - del self.env_id_to_dataset[env_id] - logger.info(f"Closed verifiers environment session: {env_id}") - return VerifiersCloseResponse(message="Success", success=True) - except Exception as e: - logger.exception(f"Error closing environment {env_id}") - return VerifiersCloseResponse(message=repr(e), success=False) - - def get_env(self, env_id: str) -> vf.Environment: - if env_id not in self.env_id_to_env: - raise ValueError(f"Unknown env_id: {env_id}") - return self.env_id_to_env[env_id] - - def get_dataset_rows(self, env_id: str) -> list[dict[str, Any]]: - if env_id not in self.env_id_to_dataset: - raise ValueError(f"Unknown env_id: {env_id}") - return self.env_id_to_dataset[env_id] - - -if __name__ == "__main__": - VerifiersResourcesServer.run_webserver() diff --git a/resources_servers/verifiers/configs/verifiers.yaml b/resources_servers/verifiers/configs/verifiers.yaml deleted file mode 100644 index 97a4ba2c6..000000000 --- a/resources_servers/verifiers/configs/verifiers.yaml +++ /dev/null @@ -1,27 +0,0 @@ -verifiers_resources_server: - resources_servers: - verifiers: - entrypoint: app.py - domain: other - verified: false - -verifiers_agent: - responses_api_agents: - verifiers_agent: - entrypoint: app.py - resources_server: - type: resources_servers - name: verifiers_resources_server - model_server: - type: responses_api_models - name: policy_model - model_name: ${policy_model_name} - vf_env_id: "reverse-text" - vf_env_args: {} - dataset_n: -1 - dataset_seed: null - group_size: 1 - max_concurrent_generation: -1 - max_concurrent_scoring: -1 - max_tokens: 4192 - temperature: 1.0 diff --git a/resources_servers/verifiers/data/example-ifeval-rollouts.jsonl b/resources_servers/verifiers/data/example-ifeval-rollouts.jsonl deleted file mode 100644 index 14cfd5d91..000000000 --- a/resources_servers/verifiers/data/example-ifeval-rollouts.jsonl +++ /dev/null @@ -1,5 +0,0 @@ -{"responses_create_params": {"background": null, "include": null, "input": [{"content": "Write me a template for a product description in the form of a poem and end it with a post script starting with P.P.S", "role": "user", "type": "message"}], "instructions": null, "max_output_tokens": null, "max_tool_calls": null, "metadata": null, "model": null, "parallel_tool_calls": true, "previous_response_id": null, "prompt": null, "reasoning": null, "service_tier": null, "store": null, "temperature": null, "text": null, "tool_choice": "auto", "tools": [], "top_logprobs": null, "top_p": null, "truncation": null, "user": null, "stream": null}, "response": {"id": "verifiers-36fb4558-5988-4924-90a0-bc3f906563f1-4", "created_at": 0.0, "error": null, "incomplete_details": null, "instructions": null, "metadata": null, "model": "Qwen/Qwen3-4B-Instruct-2507", "object": "response", "output": [[{"content": "Given the sentence \"Two young boys with toy guns and horns.\" can you ask a question? 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Attend my tale of wanderings through the land of Japan where cherry blossoms dance upon the breeze and tea houses whisper secrets to the wind \nIn springtime when the sun doth rise on Mount Fuji I shall journey from Kyoto with a heart full of wonder and a kimono bright as dawn \nI shall walk the stone paths of Fushimi Inari where thousands of torii gates stand like sentinels of ancient grace \nThrough Nara I shall meet the deer that browse in quiet peace and greet the monks who chant with voices soft as morning dew \nNext I shall sail the Sea of Japan where waves kiss the shore and fisherman in red caps cast their nets with care \nIn Osaka I shall feast on takoyaki and soba with laughter ringing like bells in a temple bell tower \nI shall climb the summit of Mount Fuji with breath held in awe and gaze upon the clouds that roll like silk across the sky \nIn Tokyo I shall wander through neon streets where futons lie warm and dreams are spun from the threads of modern life \nI shall visit the gardens of Gifu where plum trees bloom in silence and time itself seems to pause \nAt night I shall sit by a river and sip matcha with a mind full of thoughts both grand and humble \nThus shall I return to my home with a heart full of peace and a soul enriched by the grace of this far-off land \nO Japan thou art a poem written in the language of wind and water and my journey shall be thy verse eternal", "type": "output_text", "logprobs": null}], "role": "assistant", "status": "completed", "type": "message"}]], "parallel_tool_calls": false, "temperature": null, "tool_choice": "none", "tools": [], "top_p": null, "background": null, "conversation": null, "max_output_tokens": null, "max_tool_calls": null, "previous_response_id": null, "prompt": null, "prompt_cache_key": null, "reasoning": null, "safety_identifier": null, "service_tier": null, "status": null, "text": null, "top_logprobs": null, "truncation": null, "usage": null, "user": null, "env_id": "23c99d9e-847b-4d01-801b-6ea5fecd61a6", "group_id": "1", "contains_transitions": true, "reward": 1.0, "metrics": {"followed_instructions_rate": 1.0, "num_instructions": 1.0, "followed_instructions": 1.0, "num_turns": 1.0}}, "reward": 1.0} -{"responses_create_params": {"background": null, "include": null, "input": [{"content": "Write a 30-line poem with short sentences without any comma. 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He served as the Count of Tripoli from 1130 until his death in 1174. Born in the early 12th century Raymond III was the son of Raymond II and a member of the House of Tripoli a powerful noble family that played a central role in the defense and administration of the Crusader states. He inherited the county following the death of his father and was known for his strong leadership during a period of increasing pressure from Muslim forces in the Levant. Raymond III was also involved in political negotiations and military campaigns that helped maintain the stability of the County of Tripoli during a turbulent era.\n\n*highlighted section part 2* \nRaymond III was deeply involved in the politics of the Crusader states. He maintained close ties with the Kingdom of Jerusalem and often acted as a mediator in disputes between various Crusader lords. His diplomatic skills were evident in his efforts to secure alliances and strengthen fortifications across the coastal regions. He also oversaw the expansion of infrastructure such as roads and castles which improved communication and defense. Raymond III supported the construction of key fortresses including the Castle of Saida which became a vital stronghold against attacks from the Ayyubids. His commitment to the defense of the Crusader territories earned him respect among both local nobles and foreign allies.\n\n*highlighted section part 3* \nRaymond III died in 1174 and was succeeded by his son Raymond IV. His legacy endures as a symbol of resilience and leadership in the face of adversity. He is remembered not only for his military and political acumen but also for his efforts to uphold Christian presence in the Eastern Mediterranean. His rule marked a transitional period in the history of the County of Tripoli as it faced growing challenges from both internal divisions and external threats. 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This resume is designed to be adaptable for various industries such as education, customer service, retail, marketing, or technical fields.*", "type": "output_text", "logprobs": null}], "role": "assistant", "status": "completed", "type": "message"}]], "parallel_tool_calls": false, "temperature": null, "tool_choice": "none", "tools": [], "top_p": null, "background": null, "conversation": null, "max_output_tokens": null, "max_tool_calls": null, "previous_response_id": null, "prompt": null, "prompt_cache_key": null, "reasoning": null, "safety_identifier": null, "service_tier": null, "status": null, "text": null, "top_logprobs": null, "truncation": null, "usage": null, "user": null, "env_id": "dbf96c9d-c22f-4889-8be0-0f1f82cc1a2f", "group_id": "2", "contains_transitions": true, "reward": 1.0, "metrics": {"followed_instructions_rate": 1.0, "num_instructions": 1.0, "followed_instructions": 1.0, "num_turns": 1.0}}, "reward": 1.0} diff --git a/resources_servers/verifiers/data/example-ifeval.jsonl b/resources_servers/verifiers/data/example-ifeval.jsonl deleted file mode 100644 index cc621546b..000000000 --- a/resources_servers/verifiers/data/example-ifeval.jsonl +++ /dev/null @@ -1,5 +0,0 @@ -{"task_idx": 0, "vf_env_id": "ifeval", "responses_create_params": {"input": [{"content": "Write a 30-line poem with short sentences without any comma. Each line should contain exactly one sentence. Make sure that you put the right punctuation at the end of each line. Your entire response should contain the poem only.", "role": "user"}]}, "question": "Write a 30-line poem with short sentences without any comma. Each line should contain exactly one sentence. Make sure that you put the right punctuation at the end of each line. Your entire response should contain the poem only.", "answer": "", "task": "default", "example_id": 80} -{"task_idx": 1, "vf_env_id": "ifeval", "responses_create_params": {"input": [{"content": "Write a creative and persuasive startup pitch for a business that helps people with chronic illnesses find and manage in-home care. Your pitch should be less than 7 sentences and contain exactly 1 bullet point in markdown.", "role": "user"}]}, "question": "Write a creative and persuasive startup pitch for a business that helps people with chronic illnesses find and manage in-home care. Your pitch should be less than 7 sentences and contain exactly 1 bullet point in markdown.", "answer": "", "task": "default", "example_id": 390} -{"task_idx": 2, "vf_env_id": "ifeval", "responses_create_params": {"input": [{"content": "Write a blog post about the best way to get a good night's sleep with at least 400 words.", "role": "user"}]}, "question": "Write a blog post about the best way to get a good night's sleep with at least 400 words.", "answer": "", "task": "default", "example_id": 200} -{"task_idx": 3, "vf_env_id": "ifeval", "responses_create_params": {"input": [{"content": "Write a college academic paper about President of the United States being stressed. Make sure not to include negative words such as 'sad', 'crazy', 'stress', etc., in the response. Also, make sure to include at least 15 placeholders represented by square brackets, such as [address].", "role": "user"}]}, "question": "Write a college academic paper about President of the United States being stressed. Make sure not to include negative words such as 'sad', 'crazy', 'stress', etc., in the response. Also, make sure to include at least 15 placeholders represented by square brackets, such as [address].", "answer": "", "task": "default", "example_id": 284} -{"task_idx": 4, "vf_env_id": "ifeval", "responses_create_params": {"input": [{"content": "Write me a template for a product description in the form of a poem and end it with a post script starting with P.P.S", "role": "user"}]}, "question": "Write me a template for a product description in the form of a poem and end it with a post script starting with P.P.S", "answer": "", "task": "default", "example_id": 46} diff --git a/resources_servers/verifiers/data/example-math-python-rollouts.jsonl b/resources_servers/verifiers/data/example-math-python-rollouts.jsonl deleted file mode 100644 index 9a6fb435e..000000000 --- a/resources_servers/verifiers/data/example-math-python-rollouts.jsonl +++ /dev/null @@ -1,10 +0,0 @@ -{"responses_create_params": {"background": null, "include": null, "input": [{"content": "Use Python for all calculations. Give your answer inside \\boxed{}.\n\nIn addition to the Python standard library, you have access to: numpy sympy scipy.", "role": "system", "type": "message"}, {"content": "What is the number of units in the distance between $(2,5)$ and $(-6,-1)$?", "role": "user", "type": "message"}], "instructions": null, "max_output_tokens": null, "max_tool_calls": null, "metadata": null, "model": null, "parallel_tool_calls": true, "previous_response_id": null, "prompt": null, "reasoning": null, "service_tier": null, "store": null, "temperature": null, "text": null, "tool_choice": "auto", "tools": [], "top_logprobs": null, "top_p": null, "truncation": null, "user": null, "stream": null}, "response": {"id": "verifiers-f6d716ca-a6ed-41da-88b1-e164b836646e-0", "created_at": 0.0, "error": null, "incomplete_details": null, "instructions": null, "metadata": null, "model": "Qwen/Qwen3-4B-Instruct-2507", "object": "response", "output": [[{"content": "Reverse the text character-by-character. 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Give your answer inside \\boxed{}.\n\nIn addition to the Python standard library, you have access to: numpy sympy scipy.", "role": "system", "type": "message"}, {"content": "It took $4$ days for $75$ workers, all working together at the same rate, to build an embankment. If only $50$ workers had been available, how many total days would it have taken to build the embankment?", "role": "user", "type": "message"}], "instructions": null, "max_output_tokens": null, "max_tool_calls": null, "metadata": null, "model": null, "parallel_tool_calls": true, "previous_response_id": null, "prompt": null, "reasoning": null, "service_tier": null, "store": null, "temperature": null, "text": null, "tool_choice": "auto", "tools": [], "top_logprobs": null, "top_p": null, "truncation": null, "user": null, "stream": null}, "response": {"id": "verifiers-cc344578-93b2-4ed0-94aa-56cb91511de9-2", "created_at": 0.0, "error": null, "incomplete_details": null, "instructions": null, "metadata": null, "model": "Qwen/Qwen3-4B-Instruct-2507", "object": "response", "output": [], "parallel_tool_calls": false, "temperature": null, "tool_choice": "none", "tools": [], "top_p": null, "background": null, "conversation": null, "max_output_tokens": null, "max_tool_calls": null, "previous_response_id": null, "prompt": null, "prompt_cache_key": null, "reasoning": null, "safety_identifier": null, "service_tier": null, "status": null, "text": null, "top_logprobs": null, "truncation": null, "usage": null, "user": null, "env_id": "cc344578-93b2-4ed0-94aa-56cb91511de9", "group_id": "2", "contains_transitions": true, "reward": 0.0, "metrics": {"correct_answer": 0.0, "num_turns": 0.0, "total_tool_calls": 0.0, "python_calls": 0.0, "sandbox_ready_wait_time": 0.0, "sandbox_command_execution_time": 0.0, "python_ready_wait_time": 0.0}}, "reward": 0.0} diff --git a/resources_servers/verifiers/data/example-math-python.jsonl b/resources_servers/verifiers/data/example-math-python.jsonl deleted file mode 100644 index 410ab6c85..000000000 --- a/resources_servers/verifiers/data/example-math-python.jsonl +++ /dev/null @@ -1,5 +0,0 @@ -{"task_idx": 0, "vf_env_id": "math-python", "responses_create_params": {"input": [{"content": "Use Python for all calculations. Give your answer inside \\boxed{}.\n\nIn addition to the Python standard library, you have access to: numpy sympy scipy.", "role": "system"}, {"content": "What is the number of units in the distance between $(2,5)$ and $(-6,-1)$?", "role": "user"}]}, "question": "What is the number of units in the distance between $(2,5)$ and $(-6,-1)$?", "answer": "10", "task": "default", "example_id": 289} -{"task_idx": 1, "vf_env_id": "math-python", "responses_create_params": {"input": [{"content": "Use Python for all calculations. Give your answer inside \\boxed{}.\n\nIn addition to the Python standard library, you have access to: numpy sympy scipy.", "role": "system"}, {"content": "Find the $\\emph{positive}$ real number(s) $x$ such that $\\frac{1}{2}\\left( 3x^2-1\\right) = \\left( x^2-50x-10\\right)\\left( x^2+25x+5\\right)$.", "role": "user"}]}, "question": "Find the $\\emph{positive}$ real number(s) $x$ such that $\\frac{1}{2}\\left( 3x^2-1\\right) = \\left( x^2-50x-10\\right)\\left( x^2+25x+5\\right)$.", "answer": "25 + 2\\sqrt{159}", "task": "default", "example_id": 4167} -{"task_idx": 2, "vf_env_id": "math-python", "responses_create_params": {"input": [{"content": "Use Python for all calculations. Give your answer inside \\boxed{}.\n\nIn addition to the Python standard library, you have access to: numpy sympy scipy.", "role": "system"}, {"content": "It took $4$ days for $75$ workers, all working together at the same rate, to build an embankment. If only $50$ workers had been available, how many total days would it have taken to build the embankment?", "role": "user"}]}, "question": "It took $4$ days for $75$ workers, all working together at the same rate, to build an embankment. If only $50$ workers had been available, how many total days would it have taken to build the embankment?", "answer": "6", "task": "default", "example_id": 428} -{"task_idx": 3, "vf_env_id": "math-python", "responses_create_params": {"input": [{"content": "Use Python for all calculations. Give your answer inside \\boxed{}.\n\nIn addition to the Python standard library, you have access to: numpy sympy scipy.", "role": "system"}, {"content": "At a particular school with 43 students, each student takes chemistry, biology, or both. The chemistry class is three times as large as the biology class, and 5 students are taking both classes. How many people are in the chemistry class?", "role": "user"}]}, "question": "At a particular school with 43 students, each student takes chemistry, biology, or both. The chemistry class is three times as large as the biology class, and 5 students are taking both classes. How many people are in the chemistry class?", "answer": "36", "task": "default", "example_id": 2413} -{"task_idx": 4, "vf_env_id": "math-python", "responses_create_params": {"input": [{"content": "Use Python for all calculations. Give your answer inside \\boxed{}.\n\nIn addition to the Python standard library, you have access to: numpy sympy scipy.", "role": "system"}, {"content": "In a physical education class, students line up in four rows to do exercises. One particular class has over 30 students, with three rows having the same number of students and one row having one more student than the other three rows. What is the smallest possible class size for this physical education class?", "role": "user"}]}, "question": "In a physical education class, students line up in four rows to do exercises. One particular class has over 30 students, with three rows having the same number of students and one row having one more student than the other three rows. What is the smallest possible class size for this physical education class?", "answer": "33", "task": "default", "example_id": 4800} diff --git a/resources_servers/verifiers/data/example-reverse-text.jsonl b/resources_servers/verifiers/data/example-reverse-text.jsonl deleted file mode 100644 index 55eb949fe..000000000 --- a/resources_servers/verifiers/data/example-reverse-text.jsonl +++ /dev/null @@ -1,5 +0,0 @@ -{"task_idx": 0, "vf_env_id": "reverse-text", "responses_create_params": {"input": [{"content": "Reverse the text character-by-character. Put your answer in <reversed_text> tags.", "role": "system"}, {"content": "The community in Bruck was merged into it", "role": "user"}]}, "question": "The community in Bruck was merged into it", "answer": "ti otni degrem saw kcurB ni ytinummoc ehT", "task": "default", "example_id": 0} -{"task_idx": 1, "vf_env_id": "reverse-text", "responses_create_params": {"input": [{"content": "Reverse the text character-by-character. Put your answer in <reversed_text> tags.", "role": "system"}, {"content": "In 1891 the community inaugurated its own cemetery", "role": "user"}]}, "question": "In 1891 the community inaugurated its own cemetery", "answer": "yretemec nwo sti detaruguani ytinummoc eht 1981 nI", "task": "default", "example_id": 1} -{"task_idx": 2, "vf_env_id": "reverse-text", "responses_create_params": {"input": [{"content": "Reverse the text character-by-character. Put your answer in <reversed_text> tags.", "role": "system"}, {"content": "On the other hand, the Rabbinate of Baiersdorf was dissolved in 1894, and after 1900 no Jews lived in Bruck", "role": "user"}]}, "question": "On the other hand, the Rabbinate of Baiersdorf was dissolved in 1894, and after 1900 no Jews lived in Bruck", "answer": "kcurB ni devil sweJ on 0091 retfa dna ,4981 ni devlossid saw frodsreiaB fo etanibbaR eht ,dnah rehto eht nO", "task": "default", "example_id": 2} -{"task_idx": 3, "vf_env_id": "reverse-text", "responses_create_params": {"input": [{"content": "Reverse the text character-by-character. Put your answer in <reversed_text> tags.", "role": "system"}, {"content": "A monument to the former was erected on 5 May 1875 and destroyed on 15 September 1933", "role": "user"}]}, "question": "A monument to the former was erected on 5 May 1875 and destroyed on 15 September 1933", "answer": "3391 rebmetpeS 51 no deyortsed dna 5781 yaM 5 no detcere saw remrof eht ot tnemunom A", "task": "default", "example_id": 3} -{"task_idx": 4, "vf_env_id": "reverse-text", "responses_create_params": {"input": [{"content": "Reverse the text character-by-character. Put your answer in <reversed_text> tags.", "role": "system"}, {"content": "He also composed the score for the 2012 documentary film Minecraft: The Story of Mojang", "role": "user"}]}, "question": "He also composed the score for the 2012 documentary film Minecraft: The Story of Mojang", "answer": "gnajoM fo yrotS ehT :tfarceniM mlif yratnemucod 2102 eht rof erocs eht desopmoc osla eH", "task": "default", "example_id": 4} diff --git a/resources_servers/verifiers/data/example-wordle-rollouts.jsonl b/resources_servers/verifiers/data/example-wordle-rollouts.jsonl deleted file mode 100644 index da3fc02da..000000000 --- a/resources_servers/verifiers/data/example-wordle-rollouts.jsonl +++ /dev/null @@ -1,5 +0,0 @@ -{"responses_create_params": {"background": null, "include": null, "input": [{"content": "You are a competitive game player. 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You have 6 attempts to guess it.\nFor each guess, wrap your word in square brackets (e.g., '[apple]').\nFeedback for each letter will be given as follows:\n - G (green): correct letter in the correct position\n - Y (yellow): letter exists in the word but in the wrong position\n - X (wrong): letter is not in the word\nEnter your guess to begin.\n", "role": "user", "type": "message"}], "instructions": null, "max_output_tokens": null, "max_tool_calls": null, "metadata": null, "model": null, "parallel_tool_calls": true, "previous_response_id": null, "prompt": null, "reasoning": null, "service_tier": null, "store": null, "temperature": null, "text": null, "tool_choice": "auto", "tools": [], "top_logprobs": null, "top_p": null, "truncation": null, "user": null, "stream": null}, "response": {"id": "verifiers-e8df7d65-30a3-45e4-8424-11885c6ce2f2-3", "created_at": 0.0, "error": null, "incomplete_details": null, "instructions": null, "metadata": null, "model": "Qwen/Qwen3-4B-Instruct-2507", "object": "response", "output": [[{"content": "You are a competitive game player. Make sure you read the game instructions carefully, and always follow the required format.\n\nIn each turn, think step-by-step, then give your guess inside <guess>...</guess> tags.", "role": "system", "type": "message"}, {"content": "\n[GAME] You are Playing Wordle.\nA secret 5-letter word has been chosen. 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Make sure you read the game instructions carefully, and always follow the required format.\n\nIn each turn, think step-by-step, then give your guess inside <guess>...</guess> tags.", "role": "system", "type": "message"}, {"content": "\n[GAME] You are Playing Wordle.\nA secret 5-letter word has been chosen. You have 6 attempts to guess it.\nFor each guess, wrap your word in square brackets (e.g., '[apple]').\nFeedback for each letter will be given as follows:\n - G (green): correct letter in the correct position\n - Y (yellow): letter exists in the word but in the wrong position\n - X (wrong): letter is not in the word\nEnter your guess to begin.\n", "role": "user", "type": "message"}, {"content": "[crane]", "role": "assistant", "type": "message"}, {"content": "You attempted an invalid move. Reason: Your word must be exactly 5 letters. 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You have 6 attempts to guess it.\nFor each guess, wrap your word in square brackets (e.g., '[apple]').\nFeedback for each letter will be given as follows:\n - G (green): correct letter in the correct position\n - Y (yellow): letter exists in the word but in the wrong position\n - X (wrong): letter is not in the word\nEnter your guess to begin.\n", "role": "user", "type": "message"}], "instructions": null, "max_output_tokens": null, "max_tool_calls": null, "metadata": null, "model": null, "parallel_tool_calls": true, "previous_response_id": null, "prompt": null, "reasoning": null, "service_tier": null, "store": null, "temperature": null, "text": null, "tool_choice": "auto", "tools": [], "top_logprobs": null, "top_p": null, "truncation": null, "user": null, "stream": null}, "response": {"id": "verifiers-f7dd80df-1cf9-4c94-9c11-364db5ff1d8f-1", "created_at": 0.0, "error": null, "incomplete_details": null, "instructions": null, "metadata": null, "model": "Qwen/Qwen3-4B-Instruct-2507", "object": "response", "output": [[{"content": "You are a competitive game player. Make sure you read the game instructions carefully, and always follow the required format.\n\nIn each turn, think step-by-step, then give your guess inside <guess>...</guess> tags.", "role": "system", "type": "message"}, {"content": "\n[GAME] You are Playing Wordle.\nA secret 5-letter word has been chosen. You have 6 attempts to guess it.\nFor each guess, wrap your word in square brackets (e.g., '[apple]').\nFeedback for each letter will be given as follows:\n - G (green): correct letter in the correct position\n - Y (yellow): letter exists in the word but in the wrong position\n - X (wrong): letter is not in the word\nEnter your guess to begin.\n", "role": "user", "type": "message"}, {"prompt_token_ids": [151644, 8948, 198, 2610, 525, 264, 14680, 1809, 2781, 13, 7405, 2704, 498, 1349, 279, 1809, 11221, 15516, 11, 323, 2677, 1795, 279, 2567, 3561, 382, 641, 1817, 2484, 11, 1744, 3019, 14319, 29208, 11, 1221, 2968, 697, 7942, 4766, 366, 51751, 29, 26418, 51751, 29, 9492, 13, 151645, 198, 151644, 872, 271, 58, 47575, 60, 1446, 525, 39451, 9322, 273, 624, 32, 6234, 220, 20, 79368, 3409, 702, 1012, 11882, 13, 1446, 614, 220, 21, 13553, 311, 7942, 432, 624, 2461, 1817, 7942, 11, 15061, 697, 3409, 304, 9334, 38929, 320, 68, 1302, 2572, 18309, 22377, 36652, 198, 35348, 369, 1817, 6524, 686, 387, 2661, 438, 11017, 510, 220, 481, 479, 320, 13250, 1648, 4396, 6524, 304, 279, 4396, 2309, 198, 220, 481, 809, 320, 27869, 1648, 6524, 6724, 304, 279, 3409, 714, 304, 279, 4969, 2309, 198, 220, 481, 1599, 320, 34870, 1648, 6524, 374, 537, 304, 279, 3409, 198, 6269, 697, 7942, 311, 3161, 624, 151645, 198, 151644, 77091, 198], "generation_token_ids": [58, 5082, 2145, 60, 151645], "generation_log_probs": [-0.11148574203252792, -0.03991757705807686, -0.0063394405879080296, 0.0, 0.0], "id": "msg_138818739792384", "content": [{"annotations": [], "text": "[crane]", "type": "output_text", "logprobs": null}], "role": "assistant", "status": "completed", "type": "message"}], [{"content": "You are a competitive game player. Make sure you read the game instructions carefully, and always follow the required format.\n\nIn each turn, think step-by-step, then give your guess inside <guess>...</guess> tags.", "role": "system", "type": "message"}, {"content": "\n[GAME] You are Playing Wordle.\nA secret 5-letter word has been chosen. You have 6 attempts to guess it.\nFor each guess, wrap your word in square brackets (e.g., '[apple]').\nFeedback for each letter will be given as follows:\n - G (green): correct letter in the correct position\n - Y (yellow): letter exists in the word but in the wrong position\n - X (wrong): letter is not in the word\nEnter your guess to begin.\n", "role": "user", "type": "message"}, {"content": "[crane]", "role": "assistant", "type": "message"}, {"content": "You attempted an invalid move. Reason: Your word must be exactly 5 letters. Please resubmit a valid move and remember to follow the game rules to avoid penalties.", "role": "user", "type": "message"}, {"prompt_token_ids": [151644, 8948, 198, 2610, 525, 264, 14680, 1809, 2781, 13, 7405, 2704, 498, 1349, 279, 1809, 11221, 15516, 11, 323, 2677, 1795, 279, 2567, 3561, 382, 641, 1817, 2484, 11, 1744, 3019, 14319, 29208, 11, 1221, 2968, 697, 7942, 4766, 366, 51751, 29, 26418, 51751, 29, 9492, 13, 151645, 198, 151644, 872, 271, 58, 47575, 60, 1446, 525, 39451, 9322, 273, 624, 32, 6234, 220, 20, 79368, 3409, 702, 1012, 11882, 13, 1446, 614, 220, 21, 13553, 311, 7942, 432, 624, 2461, 1817, 7942, 11, 15061, 697, 3409, 304, 9334, 38929, 320, 68, 1302, 2572, 18309, 22377, 36652, 198, 35348, 369, 1817, 6524, 686, 387, 2661, 438, 11017, 510, 220, 481, 479, 320, 13250, 1648, 4396, 6524, 304, 279, 4396, 2309, 198, 220, 481, 809, 320, 27869, 1648, 6524, 6724, 304, 279, 3409, 714, 304, 279, 4969, 2309, 198, 220, 481, 1599, 320, 34870, 1648, 6524, 374, 537, 304, 279, 3409, 198, 6269, 697, 7942, 311, 3161, 624, 151645, 198, 151644, 77091, 198, 58, 5082, 2145, 60, 151645, 198, 151644, 872, 198, 2610, 17201, 458, 8318, 3271, 13, 26759, 25, 4615, 3409, 1969, 387, 6896, 220, 20, 11931, 13, 5209, 592, 392, 1763, 264, 2697, 3271, 323, 6099, 311, 1795, 279, 1809, 5601, 311, 5648, 29986, 13, 151645, 198, 151644, 77091, 198], "generation_token_ids": [58, 5082, 2145, 60, 151645], "generation_log_probs": [-0.001370206126011908, -0.0009137984015978873, -0.013122507371008396, 0.0, -0.0011508992174640298], "id": "msg_138818739699520", "content": [{"annotations": [], "text": "[crane]", "type": "output_text", "logprobs": null}], "role": "assistant", "status": "completed", "type": "message"}]], "parallel_tool_calls": false, "temperature": null, "tool_choice": "none", "tools": [], "top_p": null, "background": null, "conversation": null, "max_output_tokens": null, "max_tool_calls": null, "previous_response_id": null, "prompt": null, "prompt_cache_key": null, "reasoning": null, "safety_identifier": null, "service_tier": null, "status": null, "text": null, "top_logprobs": null, "truncation": null, "usage": null, "user": null, "env_id": "f7dd80df-1cf9-4c94-9c11-364db5ff1d8f", "group_id": "1", "contains_transitions": true, "reward": 0.04000000000000001, "metrics": {"correct_answer": 0.0, "partial_answer": 0.0, "length_bonus": 0.0, "format_reward": 0.2, "num_turns": 2.0}}, "reward": 0.04000000000000001} -{"responses_create_params": {"background": null, "include": null, "input": [{"content": "You are a competitive game player. Make sure you read the game instructions carefully, and always follow the required format.\n\nIn each turn, think step-by-step, then give your guess inside <guess>...</guess> tags.", "role": "system", "type": "message"}, {"content": "\n[GAME] You are Playing Wordle.\nA secret 5-letter word has been chosen. You have 6 attempts to guess it.\nFor each guess, wrap your word in square brackets (e.g., '[apple]').\nFeedback for each letter will be given as follows:\n - G (green): correct letter in the correct position\n - Y (yellow): letter exists in the word but in the wrong position\n - X (wrong): letter is not in the word\nEnter your guess to begin.\n", "role": "user", "type": "message"}], "instructions": null, "max_output_tokens": null, "max_tool_calls": null, "metadata": null, "model": null, "parallel_tool_calls": true, "previous_response_id": null, "prompt": null, "reasoning": null, "service_tier": null, "store": null, "temperature": null, "text": null, "tool_choice": "auto", "tools": [], "top_logprobs": null, "top_p": null, "truncation": null, "user": null, "stream": null}, "response": {"id": "verifiers-961fc94e-03fd-4cfe-b2be-32a0b6929178-2", "created_at": 0.0, "error": null, "incomplete_details": null, "instructions": null, "metadata": null, "model": "Qwen/Qwen3-4B-Instruct-2507", "object": "response", "output": [[{"content": "You are a competitive game player. Make sure you read the game instructions carefully, and always follow the required format.\n\nIn each turn, think step-by-step, then give your guess inside <guess>...</guess> tags.", "role": "system", "type": "message"}, {"content": "\n[GAME] You are Playing Wordle.\nA secret 5-letter word has been chosen. You have 6 attempts to guess it.\nFor each guess, wrap your word in square brackets (e.g., '[apple]').\nFeedback for each letter will be given as follows:\n - G (green): correct letter in the correct position\n - Y (yellow): letter exists in the word but in the wrong position\n - X (wrong): letter is not in the word\nEnter your guess to begin.\n", "role": "user", "type": "message"}, {"prompt_token_ids": [151644, 8948, 198, 2610, 525, 264, 14680, 1809, 2781, 13, 7405, 2704, 498, 1349, 279, 1809, 11221, 15516, 11, 323, 2677, 1795, 279, 2567, 3561, 382, 641, 1817, 2484, 11, 1744, 3019, 14319, 29208, 11, 1221, 2968, 697, 7942, 4766, 366, 51751, 29, 26418, 51751, 29, 9492, 13, 151645, 198, 151644, 872, 271, 58, 47575, 60, 1446, 525, 39451, 9322, 273, 624, 32, 6234, 220, 20, 79368, 3409, 702, 1012, 11882, 13, 1446, 614, 220, 21, 13553, 311, 7942, 432, 624, 2461, 1817, 7942, 11, 15061, 697, 3409, 304, 9334, 38929, 320, 68, 1302, 2572, 18309, 22377, 36652, 198, 35348, 369, 1817, 6524, 686, 387, 2661, 438, 11017, 510, 220, 481, 479, 320, 13250, 1648, 4396, 6524, 304, 279, 4396, 2309, 198, 220, 481, 809, 320, 27869, 1648, 6524, 6724, 304, 279, 3409, 714, 304, 279, 4969, 2309, 198, 220, 481, 1599, 320, 34870, 1648, 6524, 374, 537, 304, 279, 3409, 198, 6269, 697, 7942, 311, 3161, 624, 151645, 198, 151644, 77091, 198], "generation_token_ids": [58, 5082, 2145, 60, 151645], "generation_log_probs": [-0.11148574203252792, -0.03991757705807686, -0.0063394405879080296, 0.0, 0.0], "id": "msg_138818738829440", "content": [{"annotations": [], "text": "[crane]", "type": "output_text", "logprobs": null}], "role": "assistant", "status": "completed", "type": "message"}], [{"content": "You are a competitive game player. Make sure you read the game instructions carefully, and always follow the required format.\n\nIn each turn, think step-by-step, then give your guess inside <guess>...</guess> tags.", "role": "system", "type": "message"}, {"content": "\n[GAME] You are Playing Wordle.\nA secret 5-letter word has been chosen. You have 6 attempts to guess it.\nFor each guess, wrap your word in square brackets (e.g., '[apple]').\nFeedback for each letter will be given as follows:\n - G (green): correct letter in the correct position\n - Y (yellow): letter exists in the word but in the wrong position\n - X (wrong): letter is not in the word\nEnter your guess to begin.\n", "role": "user", "type": "message"}, {"content": "[crane]", "role": "assistant", "type": "message"}, {"content": "You attempted an invalid move. Reason: Your word must be exactly 5 letters. Please resubmit a valid move and remember to follow the game rules to avoid penalties.", "role": "user", "type": "message"}, {"prompt_token_ids": [151644, 8948, 198, 2610, 525, 264, 14680, 1809, 2781, 13, 7405, 2704, 498, 1349, 279, 1809, 11221, 15516, 11, 323, 2677, 1795, 279, 2567, 3561, 382, 641, 1817, 2484, 11, 1744, 3019, 14319, 29208, 11, 1221, 2968, 697, 7942, 4766, 366, 51751, 29, 26418, 51751, 29, 9492, 13, 151645, 198, 151644, 872, 271, 58, 47575, 60, 1446, 525, 39451, 9322, 273, 624, 32, 6234, 220, 20, 79368, 3409, 702, 1012, 11882, 13, 1446, 614, 220, 21, 13553, 311, 7942, 432, 624, 2461, 1817, 7942, 11, 15061, 697, 3409, 304, 9334, 38929, 320, 68, 1302, 2572, 18309, 22377, 36652, 198, 35348, 369, 1817, 6524, 686, 387, 2661, 438, 11017, 510, 220, 481, 479, 320, 13250, 1648, 4396, 6524, 304, 279, 4396, 2309, 198, 220, 481, 809, 320, 27869, 1648, 6524, 6724, 304, 279, 3409, 714, 304, 279, 4969, 2309, 198, 220, 481, 1599, 320, 34870, 1648, 6524, 374, 537, 304, 279, 3409, 198, 6269, 697, 7942, 311, 3161, 624, 151645, 198, 151644, 77091, 198, 58, 5082, 2145, 60, 151645, 198, 151644, 872, 198, 2610, 17201, 458, 8318, 3271, 13, 26759, 25, 4615, 3409, 1969, 387, 6896, 220, 20, 11931, 13, 5209, 592, 392, 1763, 264, 2697, 3271, 323, 6099, 311, 1795, 279, 1809, 5601, 311, 5648, 29986, 13, 151645, 198, 151644, 77091, 198], "generation_token_ids": [58, 5082, 2145, 60, 151645], "generation_log_probs": [-0.001370206126011908, -0.0008295908919535577, -0.012045029550790787, 0.0, -0.000825898430775851], "id": "msg_138818738818752", "content": [{"annotations": [], "text": "[crane]", "type": "output_text", "logprobs": null}], "role": "assistant", "status": "completed", "type": "message"}]], "parallel_tool_calls": false, "temperature": null, "tool_choice": "none", "tools": [], "top_p": null, "background": null, "conversation": null, "max_output_tokens": null, "max_tool_calls": null, "previous_response_id": null, "prompt": null, "prompt_cache_key": null, "reasoning": null, "safety_identifier": null, "service_tier": null, "status": null, "text": null, "top_logprobs": null, "truncation": null, "usage": null, "user": null, "env_id": "961fc94e-03fd-4cfe-b2be-32a0b6929178", "group_id": "2", "contains_transitions": true, "reward": 0.04000000000000001, "metrics": {"correct_answer": 0.0, "partial_answer": 0.0, "length_bonus": 0.0, "format_reward": 0.2, "num_turns": 2.0}}, "reward": 0.04000000000000001} -{"responses_create_params": {"background": null, "include": null, "input": [{"content": "You are a competitive game player. Make sure you read the game instructions carefully, and always follow the required format.\n\nIn each turn, think step-by-step, then give your guess inside <guess>...</guess> tags.", "role": "system", "type": "message"}, {"content": "\n[GAME] You are Playing Wordle.\nA secret 5-letter word has been chosen. You have 6 attempts to guess it.\nFor each guess, wrap your word in square brackets (e.g., '[apple]').\nFeedback for each letter will be given as follows:\n - G (green): correct letter in the correct position\n - Y (yellow): letter exists in the word but in the wrong position\n - X (wrong): letter is not in the word\nEnter your guess to begin.\n", "role": "user", "type": "message"}], "instructions": null, "max_output_tokens": null, "max_tool_calls": null, "metadata": null, "model": null, "parallel_tool_calls": true, "previous_response_id": null, "prompt": null, "reasoning": null, "service_tier": null, "store": null, "temperature": null, "text": null, "tool_choice": "auto", "tools": [], "top_logprobs": null, "top_p": null, "truncation": null, "user": null, "stream": null}, "response": {"id": "verifiers-71ce8561-a5b9-4e7b-a7ec-47a1ddbadafc-0", "created_at": 0.0, "error": null, "incomplete_details": null, "instructions": null, "metadata": null, "model": "Qwen/Qwen3-4B-Instruct-2507", "object": "response", "output": [[{"content": "You are a competitive game player. Make sure you read the game instructions carefully, and always follow the required format.\n\nIn each turn, think step-by-step, then give your guess inside <guess>...</guess> tags.", "role": "system", "type": "message"}, {"content": "\n[GAME] You are Playing Wordle.\nA secret 5-letter word has been chosen. You have 6 attempts to guess it.\nFor each guess, wrap your word in square brackets (e.g., '[apple]').\nFeedback for each letter will be given as follows:\n - G (green): correct letter in the correct position\n - Y (yellow): letter exists in the word but in the wrong position\n - X (wrong): letter is not in the word\nEnter your guess to begin.\n", "role": "user", "type": "message"}, {"prompt_token_ids": [151644, 8948, 198, 2610, 525, 264, 14680, 1809, 2781, 13, 7405, 2704, 498, 1349, 279, 1809, 11221, 15516, 11, 323, 2677, 1795, 279, 2567, 3561, 382, 641, 1817, 2484, 11, 1744, 3019, 14319, 29208, 11, 1221, 2968, 697, 7942, 4766, 366, 51751, 29, 26418, 51751, 29, 9492, 13, 151645, 198, 151644, 872, 271, 58, 47575, 60, 1446, 525, 39451, 9322, 273, 624, 32, 6234, 220, 20, 79368, 3409, 702, 1012, 11882, 13, 1446, 614, 220, 21, 13553, 311, 7942, 432, 624, 2461, 1817, 7942, 11, 15061, 697, 3409, 304, 9334, 38929, 320, 68, 1302, 2572, 18309, 22377, 36652, 198, 35348, 369, 1817, 6524, 686, 387, 2661, 438, 11017, 510, 220, 481, 479, 320, 13250, 1648, 4396, 6524, 304, 279, 4396, 2309, 198, 220, 481, 809, 320, 27869, 1648, 6524, 6724, 304, 279, 3409, 714, 304, 279, 4969, 2309, 198, 220, 481, 1599, 320, 34870, 1648, 6524, 374, 537, 304, 279, 3409, 198, 6269, 697, 7942, 311, 3161, 624, 151645, 198, 151644, 77091, 198], "generation_token_ids": [58, 5082, 2145, 60, 151645], "generation_log_probs": [-0.11148574203252792, -0.03991757705807686, -0.0063394405879080296, 0.0, 0.0], "id": "msg_138818752986304", "content": [{"annotations": [], "text": "[crane]", "type": "output_text", "logprobs": null}], "role": "assistant", "status": "completed", "type": "message"}], [{"content": "You are a competitive game player. Make sure you read the game instructions carefully, and always follow the required format.\n\nIn each turn, think step-by-step, then give your guess inside <guess>...</guess> tags.", "role": "system", "type": "message"}, {"content": "\n[GAME] You are Playing Wordle.\nA secret 5-letter word has been chosen. You have 6 attempts to guess it.\nFor each guess, wrap your word in square brackets (e.g., '[apple]').\nFeedback for each letter will be given as follows:\n - G (green): correct letter in the correct position\n - Y (yellow): letter exists in the word but in the wrong position\n - X (wrong): letter is not in the word\nEnter your guess to begin.\n", "role": "user", "type": "message"}, {"content": "[crane]", "role": "assistant", "type": "message"}, {"content": "You attempted an invalid move. Reason: Your word must be exactly 5 letters. 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Make sure you read the game instructions carefully, and always follow the required format.\n\nIn each turn, think step-by-step, then give your guess inside <guess>...</guess> tags.", "role": "system", "type": "message"}, {"content": "\n[GAME] You are Playing Wordle.\nA secret 5-letter word has been chosen. You have 6 attempts to guess it.\nFor each guess, wrap your word in square brackets (e.g., '[apple]').\nFeedback for each letter will be given as follows:\n - G (green): correct letter in the correct position\n - Y (yellow): letter exists in the word but in the wrong position\n - X (wrong): letter is not in the word\nEnter your guess to begin.\n", "role": "user", "type": "message"}], "instructions": null, "max_output_tokens": null, "max_tool_calls": null, "metadata": null, "model": null, "parallel_tool_calls": true, "previous_response_id": null, "prompt": null, "reasoning": null, "service_tier": null, "store": null, "temperature": null, "text": null, "tool_choice": "auto", "tools": [], "top_logprobs": null, "top_p": null, "truncation": null, "user": null, "stream": null}, "response": {"id": "verifiers-04fd5bc4-3d30-4c3b-81ed-99b830cbb2b1-4", "created_at": 0.0, "error": null, "incomplete_details": null, "instructions": null, "metadata": null, "model": "Qwen/Qwen3-4B-Instruct-2507", "object": "response", "output": [[{"content": "You are a competitive game player. Make sure you read the game instructions carefully, and always follow the required format.\n\nIn each turn, think step-by-step, then give your guess inside <guess>...</guess> tags.", "role": "system", "type": "message"}, {"content": "\n[GAME] You are Playing Wordle.\nA secret 5-letter word has been chosen. You have 6 attempts to guess it.\nFor each guess, wrap your word in square brackets (e.g., '[apple]').\nFeedback for each letter will be given as follows:\n - G (green): correct letter in the correct position\n - Y (yellow): letter exists in the word but in the wrong position\n - X (wrong): letter is not in the word\nEnter your guess to begin.\n", "role": "user", "type": "message"}, {"prompt_token_ids": [151644, 8948, 198, 2610, 525, 264, 14680, 1809, 2781, 13, 7405, 2704, 498, 1349, 279, 1809, 11221, 15516, 11, 323, 2677, 1795, 279, 2567, 3561, 382, 641, 1817, 2484, 11, 1744, 3019, 14319, 29208, 11, 1221, 2968, 697, 7942, 4766, 366, 51751, 29, 26418, 51751, 29, 9492, 13, 151645, 198, 151644, 872, 271, 58, 47575, 60, 1446, 525, 39451, 9322, 273, 624, 32, 6234, 220, 20, 79368, 3409, 702, 1012, 11882, 13, 1446, 614, 220, 21, 13553, 311, 7942, 432, 624, 2461, 1817, 7942, 11, 15061, 697, 3409, 304, 9334, 38929, 320, 68, 1302, 2572, 18309, 22377, 36652, 198, 35348, 369, 1817, 6524, 686, 387, 2661, 438, 11017, 510, 220, 481, 479, 320, 13250, 1648, 4396, 6524, 304, 279, 4396, 2309, 198, 220, 481, 809, 320, 27869, 1648, 6524, 6724, 304, 279, 3409, 714, 304, 279, 4969, 2309, 198, 220, 481, 1599, 320, 34870, 1648, 6524, 374, 537, 304, 279, 3409, 198, 6269, 697, 7942, 311, 3161, 624, 151645, 198, 151644, 77091, 198], "generation_token_ids": [58, 5082, 2145, 60, 151645], "generation_log_probs": [-0.11148574203252792, -0.03991757705807686, -0.0063394405879080296, 0.0, 0.0], "id": "msg_138818953684928", "content": [{"annotations": [], "text": "[crane]", "type": "output_text", "logprobs": null}], "role": "assistant", "status": "completed", "type": "message"}], [{"content": "You are a competitive game player. Make sure you read the game instructions carefully, and always follow the required format.\n\nIn each turn, think step-by-step, then give your guess inside <guess>...</guess> tags.", "role": "system", "type": "message"}, {"content": "\n[GAME] You are Playing Wordle.\nA secret 5-letter word has been chosen. You have 6 attempts to guess it.\nFor each guess, wrap your word in square brackets (e.g., '[apple]').\nFeedback for each letter will be given as follows:\n - G (green): correct letter in the correct position\n - Y (yellow): letter exists in the word but in the wrong position\n - X (wrong): letter is not in the word\nEnter your guess to begin.\n", "role": "user", "type": "message"}, {"content": "[crane]", "role": "assistant", "type": "message"}, {"content": "You attempted an invalid move. Reason: Your word must be exactly 5 letters. Please resubmit a valid move and remember to follow the game rules to avoid penalties.", "role": "user", "type": "message"}, {"prompt_token_ids": [151644, 8948, 198, 2610, 525, 264, 14680, 1809, 2781, 13, 7405, 2704, 498, 1349, 279, 1809, 11221, 15516, 11, 323, 2677, 1795, 279, 2567, 3561, 382, 641, 1817, 2484, 11, 1744, 3019, 14319, 29208, 11, 1221, 2968, 697, 7942, 4766, 366, 51751, 29, 26418, 51751, 29, 9492, 13, 151645, 198, 151644, 872, 271, 58, 47575, 60, 1446, 525, 39451, 9322, 273, 624, 32, 6234, 220, 20, 79368, 3409, 702, 1012, 11882, 13, 1446, 614, 220, 21, 13553, 311, 7942, 432, 624, 2461, 1817, 7942, 11, 15061, 697, 3409, 304, 9334, 38929, 320, 68, 1302, 2572, 18309, 22377, 36652, 198, 35348, 369, 1817, 6524, 686, 387, 2661, 438, 11017, 510, 220, 481, 479, 320, 13250, 1648, 4396, 6524, 304, 279, 4396, 2309, 198, 220, 481, 809, 320, 27869, 1648, 6524, 6724, 304, 279, 3409, 714, 304, 279, 4969, 2309, 198, 220, 481, 1599, 320, 34870, 1648, 6524, 374, 537, 304, 279, 3409, 198, 6269, 697, 7942, 311, 3161, 624, 151645, 198, 151644, 77091, 198, 58, 5082, 2145, 60, 151645, 198, 151644, 872, 198, 2610, 17201, 458, 8318, 3271, 13, 26759, 25, 4615, 3409, 1969, 387, 6896, 220, 20, 11931, 13, 5209, 592, 392, 1763, 264, 2697, 3271, 323, 6099, 311, 1795, 279, 1809, 5601, 311, 5648, 29986, 13, 151645, 198, 151644, 77091, 198], "generation_token_ids": [58, 5082, 2145, 60, 151645], "generation_log_probs": [-0.001370206126011908, -0.0008295908919535577, -0.012045029550790787, 0.0, -0.000825898430775851], "id": "msg_138818934197568", "content": [{"annotations": [], "text": "[crane]", "type": "output_text", "logprobs": null}], "role": "assistant", "status": "completed", "type": "message"}]], "parallel_tool_calls": false, "temperature": null, "tool_choice": "none", "tools": [], "top_p": null, "background": null, "conversation": null, "max_output_tokens": null, "max_tool_calls": null, "previous_response_id": null, "prompt": null, "prompt_cache_key": null, "reasoning": null, "safety_identifier": null, "service_tier": null, "status": null, "text": null, "top_logprobs": null, "truncation": null, "usage": null, "user": null, "env_id": "04fd5bc4-3d30-4c3b-81ed-99b830cbb2b1", "group_id": "4", "contains_transitions": true, "reward": 0.04000000000000001, "metrics": {"correct_answer": 0.0, "partial_answer": 0.0, "length_bonus": 0.0, "format_reward": 0.2, "num_turns": 2.0}}, "reward": 0.04000000000000001} diff --git a/resources_servers/verifiers/data/example-wordle.jsonl b/resources_servers/verifiers/data/example-wordle.jsonl deleted file mode 100644 index 2faa54541..000000000 --- a/resources_servers/verifiers/data/example-wordle.jsonl +++ /dev/null @@ -1,5 +0,0 @@ -{"task_idx": 0, "vf_env_id": "wordle", "responses_create_params": {"input": [{"content": "You are a competitive game player. Make sure you read the game instructions carefully, and always follow the required format.\n\nIn each turn, think step-by-step, then give your guess inside <guess>...</guess> tags.", "role": "system"}, {"content": "\n[GAME] You are Playing Wordle.\nA secret 5-letter word has been chosen. You have 6 attempts to guess it.\nFor each guess, wrap your word in square brackets (e.g., '[apple]').\nFeedback for each letter will be given as follows:\n - G (green): correct letter in the correct position\n - Y (yellow): letter exists in the word but in the wrong position\n - X (wrong): letter is not in the word\nEnter your guess to begin.\n", "role": "user"}]}, "question": "\n[GAME] You are Playing Wordle.\nA secret 5-letter word has been chosen. You have 6 attempts to guess it.\nFor each guess, wrap your word in square brackets (e.g., '[apple]').\nFeedback for each letter will be given as follows:\n - G (green): correct letter in the correct position\n - Y (yellow): letter exists in the word but in the wrong position\n - X (wrong): letter is not in the word\nEnter your guess to begin.\n", "answer": "rough", "task": "default", "example_id": 0} -{"task_idx": 1, "vf_env_id": "wordle", "responses_create_params": {"input": [{"content": "You are a competitive game player. Make sure you read the game instructions carefully, and always follow the required format.\n\nIn each turn, think step-by-step, then give your guess inside <guess>...</guess> tags.", "role": "system"}, {"content": "\n[GAME] You are Playing Wordle.\nA secret 5-letter word has been chosen. You have 6 attempts to guess it.\nFor each guess, wrap your word in square brackets (e.g., '[apple]').\nFeedback for each letter will be given as follows:\n - G (green): correct letter in the correct position\n - Y (yellow): letter exists in the word but in the wrong position\n - X (wrong): letter is not in the word\nEnter your guess to begin.\n", "role": "user"}]}, "question": "\n[GAME] You are Playing Wordle.\nA secret 5-letter word has been chosen. You have 6 attempts to guess it.\nFor each guess, wrap your word in square brackets (e.g., '[apple]').\nFeedback for each letter will be given as follows:\n - G (green): correct letter in the correct position\n - Y (yellow): letter exists in the word but in the wrong position\n - X (wrong): letter is not in the word\nEnter your guess to begin.\n", "answer": "shelf", "task": "default", "example_id": 1} -{"task_idx": 2, "vf_env_id": "wordle", "responses_create_params": {"input": [{"content": "You are a competitive game player. Make sure you read the game instructions carefully, and always follow the required format.\n\nIn each turn, think step-by-step, then give your guess inside <guess>...</guess> tags.", "role": "system"}, {"content": "\n[GAME] You are Playing Wordle.\nA secret 5-letter word has been chosen. You have 6 attempts to guess it.\nFor each guess, wrap your word in square brackets (e.g., '[apple]').\nFeedback for each letter will be given as follows:\n - G (green): correct letter in the correct position\n - Y (yellow): letter exists in the word but in the wrong position\n - X (wrong): letter is not in the word\nEnter your guess to begin.\n", "role": "user"}]}, "question": "\n[GAME] You are Playing Wordle.\nA secret 5-letter word has been chosen. You have 6 attempts to guess it.\nFor each guess, wrap your word in square brackets (e.g., '[apple]').\nFeedback for each letter will be given as follows:\n - G (green): correct letter in the correct position\n - Y (yellow): letter exists in the word but in the wrong position\n - X (wrong): letter is not in the word\nEnter your guess to begin.\n", "answer": "brake", "task": "default", "example_id": 2} -{"task_idx": 3, "vf_env_id": "wordle", "responses_create_params": {"input": [{"content": "You are a competitive game player. Make sure you read the game instructions carefully, and always follow the required format.\n\nIn each turn, think step-by-step, then give your guess inside <guess>...</guess> tags.", "role": "system"}, {"content": "\n[GAME] You are Playing Wordle.\nA secret 5-letter word has been chosen. You have 6 attempts to guess it.\nFor each guess, wrap your word in square brackets (e.g., '[apple]').\nFeedback for each letter will be given as follows:\n - G (green): correct letter in the correct position\n - Y (yellow): letter exists in the word but in the wrong position\n - X (wrong): letter is not in the word\nEnter your guess to begin.\n", "role": "user"}]}, "question": "\n[GAME] You are Playing Wordle.\nA secret 5-letter word has been chosen. You have 6 attempts to guess it.\nFor each guess, wrap your word in square brackets (e.g., '[apple]').\nFeedback for each letter will be given as follows:\n - G (green): correct letter in the correct position\n - Y (yellow): letter exists in the word but in the wrong position\n - X (wrong): letter is not in the word\nEnter your guess to begin.\n", "answer": "limit", "task": "default", "example_id": 3} -{"task_idx": 4, "vf_env_id": "wordle", "responses_create_params": {"input": [{"content": "You are a competitive game player. Make sure you read the game instructions carefully, and always follow the required format.\n\nIn each turn, think step-by-step, then give your guess inside <guess>...</guess> tags.", "role": "system"}, {"content": "\n[GAME] You are Playing Wordle.\nA secret 5-letter word has been chosen. You have 6 attempts to guess it.\nFor each guess, wrap your word in square brackets (e.g., '[apple]').\nFeedback for each letter will be given as follows:\n - G (green): correct letter in the correct position\n - Y (yellow): letter exists in the word but in the wrong position\n - X (wrong): letter is not in the word\nEnter your guess to begin.\n", "role": "user"}]}, "question": "\n[GAME] You are Playing Wordle.\nA secret 5-letter word has been chosen. You have 6 attempts to guess it.\nFor each guess, wrap your word in square brackets (e.g., '[apple]').\nFeedback for each letter will be given as follows:\n - G (green): correct letter in the correct position\n - Y (yellow): letter exists in the word but in the wrong position\n - X (wrong): letter is not in the word\nEnter your guess to begin.\n", "answer": "stone", "task": "default", "example_id": 4} diff --git a/resources_servers/verifiers/requirements.txt b/resources_servers/verifiers/requirements.txt deleted file mode 100644 index e5a87955f..000000000 --- a/resources_servers/verifiers/requirements.txt +++ /dev/null @@ -1,11 +0,0 @@ --e nemo-gym[dev] @ ../../ -verifiers>=0.1.9 ---extra-index-url https://hub.primeintellect.ai/primeintellect/simple/ -reverse-text -math-python -wordle -aime2025 -ifeval -alphabet-sort -i3-math -acereason-math diff --git a/resources_servers/verifiers/schemas.py b/resources_servers/verifiers/schemas.py deleted file mode 100644 index ee863e368..000000000 --- a/resources_servers/verifiers/schemas.py +++ /dev/null @@ -1,112 +0,0 @@ -# Copyright (c) 2026, NVIDIA CORPORATION. All rights reserved. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -from typing import Any, Literal - -from pydantic import BaseModel, ConfigDict, Field - -from nemo_gym.base_resources_server import ( - BaseResourcesServerConfig, - BaseSeedSessionRequest, - BaseSeedSessionResponse, - BaseVerifyRequest, - BaseVerifyResponse, -) -from nemo_gym.openai_utils import NeMoGymResponse - - -class VerifiersResourcesServerConfig(BaseResourcesServerConfig): - pass - - -class VerifiersSeedSessionRequest(BaseSeedSessionRequest): - vf_env_id: str = Field(description="The verifiers environment ID to load") - vf_env_args: dict = Field(default_factory=dict, description="Arguments to pass to the environment") - dataset_n: int = Field(default=-1, description="Number of examples to load (-1 for all)") - dataset_seed: int | None = Field(default=None, description="Seed for dataset shuffling") - - -class VerifiersSeedSessionResponse(BaseSeedSessionResponse): - env_id: str = Field(description="Unique ID for this environment session") - dataset_length: int = Field(description="Number of examples in the dataset") - vf_env_id: str = Field(description="The verifiers environment ID that was loaded") - - -class VerifiersRunRequest(BaseModel): - env_id: str = Field(description="Environment session ID from seed_session") - task_indices: list[int] = Field(description="Indices of examples to run") - group_size: int = Field(default=1, description="Number of rollouts per example") - sampling_args: dict = Field(default_factory=dict, description="Sampling arguments for generation") - max_concurrent_generation: int = Field(default=-1, description="Max concurrent generation requests") - max_concurrent_scoring: int = Field(default=-1, description="Max concurrent scoring requests") - - -class VerifiersRunResponse(BaseModel): - states: list[dict[str, Any]] = Field(description="Verifiers State objects (serialized)") - rewards: list[float] = Field(description="Rewards for each rollout") - metrics: list[dict[str, Any]] = Field(description="Metrics for each rollout") - - -class VerifiersCloseRequest(BaseModel): - env_id: str - - -class VerifiersCloseResponse(BaseModel): - message: str - success: bool - - -class VerifiersNeMoGymResponse(NeMoGymResponse): - env_id: str - group_id: str - contains_transitions: Literal[True] = True - output: list[dict[str, Any]] - reward: float - metrics: dict[str, Any] = Field(default_factory=dict) - parallel_tool_calls: bool = False - tool_choice: str = "none" - tools: list = Field(default_factory=list) - - -class VerifiersAgentVerifyRequest(BaseVerifyRequest): - model_config = ConfigDict(extra="allow") - response: VerifiersNeMoGymResponse - - -class VerifiersAgentVerifyResponse(VerifiersAgentVerifyRequest, BaseVerifyResponse): - model_config = ConfigDict(extra="allow") - - -class VerifiersGetExampleRequest(BaseModel): - env_id: str - task_idx: int - - -class VerifiersGetExampleResponse(BaseModel): - model_config = ConfigDict(extra="allow") - prompt: list[dict[str, Any]] - example_id: int | str - task: str - answer: str | None = None - info: dict | None = None - - -class VerifiersVerifyRequest(BaseVerifyRequest): - model_config = ConfigDict(extra="allow") - response: dict[str, Any] - - -class VerifiersVerifyResponse(BaseVerifyResponse): - model_config = ConfigDict(extra="allow") - response: dict[str, Any] - reward: float diff --git a/resources_servers/verifiers/tests/__init__.py b/resources_servers/verifiers/tests/__init__.py deleted file mode 100644 index 467079831..000000000 --- a/resources_servers/verifiers/tests/__init__.py +++ /dev/null @@ -1,14 +0,0 @@ -# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. -# SPDX-License-Identifier: Apache-2.0 -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. diff --git a/resources_servers/verifiers/tests/test_app.py b/resources_servers/verifiers/tests/test_app.py deleted file mode 100644 index 6c8d2b063..000000000 --- a/resources_servers/verifiers/tests/test_app.py +++ /dev/null @@ -1,88 +0,0 @@ -# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. -# SPDX-License-Identifier: Apache-2.0 -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -from unittest.mock import MagicMock - -from app import VerifiersResourcesServer, VerifiersResourcesServerConfig -from schemas import ( - VerifiersGetExampleRequest, - VerifiersVerifyRequest, -) - -from nemo_gym.server_utils import ServerClient - - -class TestApp: - def test_sanity(self) -> None: - config = VerifiersResourcesServerConfig(host="0.0.0.0", port=8080, entrypoint="", name="") - VerifiersResourcesServer(config=config, server_client=MagicMock(spec=ServerClient)) - - async def test_get_example(self) -> None: - config = VerifiersResourcesServerConfig(host="0.0.0.0", port=8080, entrypoint="", name="") - server = VerifiersResourcesServer(config=config, server_client=MagicMock(spec=ServerClient)) - - test_env_id = "test-env-123" - server.env_id_to_dataset[test_env_id] = [ - { - "prompt": [{"role": "user", "content": "Sort: b, a, c"}], - "example_id": 0, - "task": "sort", - "answer": "a, b, c", - }, - { - "prompt": [{"role": "user", "content": "Sort: z, y, x"}], - "example_id": 1, - "task": "sort", - "answer": "x, y, z", - }, - ] - - request = MagicMock() - body = VerifiersGetExampleRequest(env_id=test_env_id, task_idx=0) - - result = await server.get_example(request, body) - assert result.prompt == [{"role": "user", "content": "Sort: b, a, c"}] - assert result.example_id == 0 - assert result.task == "sort" - assert result.answer == "a, b, c" - - async def test_get_example_second_item(self) -> None: - config = VerifiersResourcesServerConfig(host="0.0.0.0", port=8080, entrypoint="", name="") - server = VerifiersResourcesServer(config=config, server_client=MagicMock(spec=ServerClient)) - - test_env_id = "test-env-456" - server.env_id_to_dataset[test_env_id] = [ - {"prompt": [{"role": "user", "content": "Q1"}], "example_id": 0, "task": "test"}, - {"prompt": [{"role": "user", "content": "Q2"}], "example_id": 1, "task": "test"}, - ] - - request = MagicMock() - body = VerifiersGetExampleRequest(env_id=test_env_id, task_idx=1) - - result = await server.get_example(request, body) - assert result.prompt == [{"role": "user", "content": "Q2"}] - assert result.example_id == 1 - - async def test_verify(self) -> None: - config = VerifiersResourcesServerConfig(host="0.0.0.0", port=8080, entrypoint="", name="") - server = VerifiersResourcesServer(config=config, server_client=MagicMock(spec=ServerClient)) - - request = MagicMock() - body = VerifiersVerifyRequest( - responses_create_params={"input": []}, - response={"reward": 0.75, "output": []}, - ) - - result = await server.verify(request, body) - assert result.reward == 0.75 diff --git a/resources_servers/verifiers/utils.py b/resources_servers/verifiers/utils.py deleted file mode 100644 index 869e8e7d1..000000000 --- a/resources_servers/verifiers/utils.py +++ /dev/null @@ -1,57 +0,0 @@ -# Copyright (c) 2026, NVIDIA CORPORATION. All rights reserved. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -from __future__ import annotations - -import logging -from typing import Any - -import verifiers as vf - - -logger = logging.getLogger(__name__) - - -def load_verifiers_dataset( - vf_env: vf.Environment, - n: int = -1, - seed: int | None = None, -) -> list[dict[str, Any]]: - # TODO: Is there a more standard way in verifiers to get the dataset? check prime? - try: - dataset = vf_env.get_dataset(n=n, seed=seed) - except ValueError: - dataset = None - for attr in ["dataset", "train_dataset", "eval_dataset"]: - ds = getattr(vf_env, attr, None) - if ds is not None: - dataset = ds - logger.info(f"Found dataset in vf_env.{attr}") - break - if dataset is None: - raise ValueError("Environment does not have a dataset") - if seed is not None: - dataset = dataset.shuffle(seed=seed) - if n > 0: - dataset = dataset.select(range(min(n, len(dataset)))) - - return [ - { - "prompt": dataset["prompt"][i], - "example_id": dataset["example_id"][i], - "task": dataset["task"][i], - **({"answer": dataset["answer"][i]} if "answer" in dataset.column_names else {}), - **({"info": dataset["info"][i]} if "info" in dataset.column_names else {}), - } - for i in range(len(dataset)) - ] diff --git a/responses_api_agents/verifiers_agent/app.py b/responses_api_agents/verifiers_agent/app.py index 1b180939c..2115ef786 100644 --- a/responses_api_agents/verifiers_agent/app.py +++ b/responses_api_agents/verifiers_agent/app.py @@ -15,8 +15,7 @@ import logging import traceback -import uuid -from typing import Any +from typing import Any, Literal import verifiers as vf from fastapi import Body, Request, Response @@ -27,28 +26,42 @@ from pydantic import ConfigDict, Field from verifiers.utils.async_utils import maybe_semaphore -from nemo_gym.base_resources_server import BaseRunRequest +from nemo_gym.base_resources_server import BaseRunRequest, BaseVerifyResponse from nemo_gym.base_responses_api_agent import BaseResponsesAPIAgentConfig, SimpleResponsesAPIAgent -from nemo_gym.config_types import ModelServerRef, ResourcesServerRef +from nemo_gym.config_types import ModelServerRef from nemo_gym.global_config import get_first_server_config_dict from nemo_gym.openai_utils import ( NeMoGymEasyInputMessage, + NeMoGymResponse, NeMoGymResponseCreateParamsNonStreaming, NeMoGymResponseOutputMessage, NeMoGymResponseOutputMessageForTraining, NeMoGymResponseOutputText, ) from nemo_gym.server_utils import get_global_aiohttp_client -from resources_servers.verifiers.schemas import ( - VerifiersAgentVerifyResponse, - VerifiersNeMoGymResponse, -) -from resources_servers.verifiers.utils import load_verifiers_dataset logger = logging.getLogger(__name__) +class VerifiersNeMoGymResponse(NeMoGymResponse): + env_id: str + group_id: str + contains_transitions: Literal[True] = True + output: list[dict[str, Any]] + reward: float + metrics: dict[str, Any] = Field(default_factory=dict) + parallel_tool_calls: bool = False + tool_choice: str = "none" + tools: list = Field(default_factory=list) + + +class VerifiersAgentVerifyResponse(BaseVerifyResponse): + model_config = ConfigDict(extra="allow") + response: VerifiersNeMoGymResponse + reward: float + + class _VLLMChatCompletions(AsyncCompletions): def __init__(self, base_url: str) -> None: self._base_url = base_url.rstrip("/") @@ -133,14 +146,11 @@ def chat(self) -> AsyncChat: class VerifiersAgentConfig(BaseResponsesAPIAgentConfig): - resources_server: ResourcesServerRef model_server: ModelServerRef model_name: str = Field(default="", description="Model name for the vLLM server") vf_env_id: str = Field(default="", description="Default verifiers environment ID") vf_env_args: dict = Field(default_factory=dict, description="Environment arguments") - dataset_n: int = Field(default=-1, description="Number of examples to load") - dataset_seed: int | None = Field(default=None, description="Dataset shuffle seed") group_size: int = Field(default=1, description="Number of rollouts per example") max_concurrent_generation: int = Field(default=-1, description="Max concurrent generation requests") @@ -155,14 +165,14 @@ class VerifiersAgentRunRequest(BaseRunRequest): model_config = ConfigDict(extra="allow") task_idx: int - vf_env_id: str | None = Field(default=None, description="Override env ID from config") + vf_env_id: str | None = Field(default=None, description="Verifiers environment ID") responses_create_params: NeMoGymResponseCreateParamsNonStreaming = Field( default_factory=lambda: NeMoGymResponseCreateParamsNonStreaming(input=[]) ) - answer: str = Field(default="", description="Expected answer") - task: str = Field(default="default", description="Task type") - example_id: int | str = Field(default=0, description="Example ID") - info: dict = Field(default_factory=dict, description="Extra info for scoring") + answer: str = Field(default="", description="Expected answer from dataset") + task: str = Field(default="default", description="Task type from dataset") + example_id: int | str = Field(default=0, description="Example ID from dataset") + info: dict = Field(default_factory=dict, description="Extra info from dataset") class VerifiersAgent(SimpleResponsesAPIAgent): @@ -170,29 +180,16 @@ class VerifiersAgent(SimpleResponsesAPIAgent): config: VerifiersAgentConfig envs_cache: dict[str, Any] = Field(default_factory=dict) # vf.Environment - env_ids_cache: dict[str, str] = Field(default_factory=dict) - dataset_rows_cache: dict[str, list[dict]] = Field(default_factory=dict) openai_client_cache: dict[str, VLLMOpenAIClient] = Field(default_factory=dict) - async def _ensure_env_loaded(self, vf_env_id: str) -> tuple[vf.Environment, str, list[dict]]: - if vf_env_id in self.envs_cache: - return self.envs_cache[vf_env_id], self.env_ids_cache[vf_env_id], self.dataset_rows_cache[vf_env_id] - - env_id = f"{vf_env_id}-{uuid.uuid4().hex[:8]}" - logger.info(f"Loading verifiers environment: {vf_env_id}") - - vf_env = vf.load_environment(vf_env_id, **self.config.vf_env_args) - dataset_rows = load_verifiers_dataset(vf_env, n=self.config.dataset_n, seed=self.config.dataset_seed) - - self.envs_cache[vf_env_id] = vf_env - self.env_ids_cache[vf_env_id] = env_id - self.dataset_rows_cache[vf_env_id] = dataset_rows - - return vf_env, env_id, dataset_rows + def _get_env(self, vf_env_id: str) -> vf.Environment: + if vf_env_id not in self.envs_cache: + logger.info(f"Loading verifiers environment: {vf_env_id}") + self.envs_cache[vf_env_id] = vf.load_environment(vf_env_id, **self.config.vf_env_args) + return self.envs_cache[vf_env_id] def _get_openai_client(self) -> VLLMOpenAIClient: - cache_key = self.config.model_server.name - if cache_key not in self.openai_client_cache: + if self.config.model_server.name not in self.openai_client_cache: server_config_dict = get_first_server_config_dict( self.server_client.global_config_dict, self.config.model_server.name, @@ -202,9 +199,9 @@ def _get_openai_client(self) -> VLLMOpenAIClient: if not model_server_url.endswith("/v1"): model_server_url = model_server_url.rstrip("/") + "/v1" - self.openai_client_cache[cache_key] = VLLMOpenAIClient(base_url=model_server_url) + self.openai_client_cache[self.config.model_server.name] = VLLMOpenAIClient(base_url=model_server_url) - return self.openai_client_cache[cache_key] + return self.openai_client_cache[self.config.model_server.name] def _convert_trajectory_to_output(self, state: dict) -> list: output = [] @@ -249,8 +246,10 @@ async def responses( ) -> VerifiersNeMoGymResponse: try: vf_env_id = body.vf_env_id or self.config.vf_env_id - vf_env, env_id, _ = await self._ensure_env_loaded(vf_env_id) + if not vf_env_id: + raise ValueError("vf_env_id must be provided in request or config") + vf_env = self._get_env(vf_env_id) task_idx = body.task_idx prompt_messages = [] @@ -294,12 +293,12 @@ async def responses( output = self._convert_trajectory_to_output(state) return VerifiersNeMoGymResponse( - id=f"verifiers-{env_id}-{task_idx}", + id=f"verifiers-{vf_env_id}-{task_idx}", created_at=0, model=self.config.model_name, object="response", output=output, - env_id=env_id, + env_id=vf_env_id, group_id=str(task_idx), reward=reward, metrics=metrics, @@ -316,6 +315,7 @@ async def run( body: VerifiersAgentRunRequest = Body(), ) -> VerifiersAgentVerifyResponse: resp = await self.responses(request, response, body) + return VerifiersAgentVerifyResponse( responses_create_params=body.responses_create_params, response=resp, diff --git a/responses_api_agents/verifiers_agent/configs/verifiers_acereason-math.yaml b/responses_api_agents/verifiers_agent/configs/verifiers_acereason-math.yaml new file mode 100644 index 000000000..7bfba3158 --- /dev/null +++ b/responses_api_agents/verifiers_agent/configs/verifiers_acereason-math.yaml @@ -0,0 +1,16 @@ +verifiers_agent: + responses_api_agents: + verifiers_agent: + entrypoint: app.py + model_server: + type: responses_api_models + name: policy_model + model_name: "" + vf_env_id: acereason-math + vf_env_args: {} + group_size: 1 + max_concurrent_generation: -1 + max_concurrent_scoring: -1 + max_tokens: 16384 + temperature: 1.0 + top_p: 1.0 diff --git a/responses_api_agents/verifiers_agent/data/acereason-math-example.jsonl b/responses_api_agents/verifiers_agent/data/acereason-math-example.jsonl new file mode 100644 index 000000000..34b279939 --- /dev/null +++ b/responses_api_agents/verifiers_agent/data/acereason-math-example.jsonl @@ -0,0 +1,5 @@ +{"task_idx": 0, "vf_env_id": "acereason-math", "responses_create_params": {"input": [{"content": "Let $ABCD$ be a square. If sides $AB$ and $CD$ are increased by $20\\%$ and sides $AD$ and $BC$ are decreased by $20\\%$ (forming a rectangle), by what percent does the area change?\nPlease reason step by step, and put your final answer within \\boxed{{}}.", "role": "user"}]}, "question": "Let $ABCD$ be a square. If sides $AB$ and $CD$ are increased by $20\\%$ and sides $AD$ and $BC$ are decreased by $20\\%$ (forming a rectangle), by what percent does the area change?\nPlease reason step by step, and put your final answer within \\boxed{{}}.", "answer": "-4", "task": "acereason-math", "example_id": 0, "info": {}, "agent_ref": {"type": "responses_api_agents", "name": "verifiers_agent"}} +{"task_idx": 1, "vf_env_id": "acereason-math", "responses_create_params": {"input": [{"content": "\nAn investor has an open brokerage account with an investment company. In 2021, the investor received the following income from securities:\n\n- Dividends from shares of the company PAO \u201cWinning\u201d amounted to 50,000 rubles.\n- Coupon income from government bonds OFZ amounted to 40,000 rubles.\n- Coupon income from corporate bonds of PAO \u201cReliable\u201d amounted to 30,000 rubles.\n\nIn addition, the investor received a capital gain from selling 100 shares of PAO \"Risky\" at 200 rubles per share. The purchase price was 150 rubles per share. The investor held the shares for 4 months.\n\nCalculate the amount of personal income tax (NDFL) on the income from the securities.\nPlease reason step by step, and put your final answer within \\boxed{{}}.", "role": "user"}]}, "question": "\nAn investor has an open brokerage account with an investment company. In 2021, the investor received the following income from securities:\n\n- Dividends from shares of the company PAO \u201cWinning\u201d amounted to 50,000 rubles.\n- Coupon income from government bonds OFZ amounted to 40,000 rubles.\n- Coupon income from corporate bonds of PAO \u201cReliable\u201d amounted to 30,000 rubles.\n\nIn addition, the investor received a capital gain from selling 100 shares of PAO \"Risky\" at 200 rubles per share. The purchase price was 150 rubles per share. The investor held the shares for 4 months.\n\nCalculate the amount of personal income tax (NDFL) on the income from the securities.\nPlease reason step by step, and put your final answer within \\boxed{{}}.", "answer": "11050", "task": "acereason-math", "example_id": 1, "info": {}, "agent_ref": {"type": "responses_api_agents", "name": "verifiers_agent"}} +{"task_idx": 2, "vf_env_id": "acereason-math", "responses_create_params": {"input": [{"content": "\n58 balls of two colors - red and blue - are arranged in a circle. It is known that the number of consecutive triplets of balls with a majority of red balls is equal to the number of triplets with a majority of blue balls. What is the minimum possible number of red balls?\nPlease reason step by step, and put your final answer within \\boxed{{}}.", "role": "user"}]}, "question": "\n58 balls of two colors - red and blue - are arranged in a circle. It is known that the number of consecutive triplets of balls with a majority of red balls is equal to the number of triplets with a majority of blue balls. What is the minimum possible number of red balls?\nPlease reason step by step, and put your final answer within \\boxed{{}}.", "answer": "20", "task": "acereason-math", "example_id": 2, "info": {}, "agent_ref": {"type": "responses_api_agents", "name": "verifiers_agent"}} +{"task_idx": 3, "vf_env_id": "acereason-math", "responses_create_params": {"input": [{"content": "A waiter at the restaurant U \u0160ejd\u00ed\u0159e always adds the current date to the bill: he increases the total amount spent by as many crowns as the day of the month it is.\n\nIn September, a group of three friends dined at the restaurant twice. The first time, each person paid separately, and the waiter added the date to each bill, resulting in each person being charged 168 CZK. Four days later, they had lunch again and ordered exactly the same as before. This time, however, one person paid for all three. The waiter added the date to the bill only once and asked for 486 CZK in total. The friends were puzzled that although the prices on the menu had not changed, the lunch was cheaper this time, and they uncovered the waiter\u2019s scam. What was the date?\n\n(Hint: Determine what their total bill would have been if each person paid separately the second time as well.)\nPlease reason step by step, and put your final answer within \\boxed{{}}.", "role": "user"}]}, "question": "A waiter at the restaurant U \u0160ejd\u00ed\u0159e always adds the current date to the bill: he increases the total amount spent by as many crowns as the day of the month it is.\n\nIn September, a group of three friends dined at the restaurant twice. The first time, each person paid separately, and the waiter added the date to each bill, resulting in each person being charged 168 CZK. Four days later, they had lunch again and ordered exactly the same as before. This time, however, one person paid for all three. The waiter added the date to the bill only once and asked for 486 CZK in total. The friends were puzzled that although the prices on the menu had not changed, the lunch was cheaper this time, and they uncovered the waiter\u2019s scam. What was the date?\n\n(Hint: Determine what their total bill would have been if each person paid separately the second time as well.)\nPlease reason step by step, and put your final answer within \\boxed{{}}.", "answer": "15", "task": "acereason-math", "example_id": 3, "info": {}, "agent_ref": {"type": "responses_api_agents", "name": "verifiers_agent"}} +{"task_idx": 4, "vf_env_id": "acereason-math", "responses_create_params": {"input": [{"content": "What would the 25th number be in a numeric system where the base is five?\nPlease reason step by step, and put your final answer within \\boxed{{}}.", "role": "user"}]}, "question": "What would the 25th number be in a numeric system where the base is five?\nPlease reason step by step, and put your final answer within \\boxed{{}}.", "answer": "100", "task": "acereason-math", "example_id": 4, "info": {}, "agent_ref": {"type": "responses_api_agents", "name": "verifiers_agent"}} diff --git a/responses_api_agents/verifiers_agent/requirements.txt b/responses_api_agents/verifiers_agent/requirements.txt index ea410a6ab..f0f021ea6 100644 --- a/responses_api_agents/verifiers_agent/requirements.txt +++ b/responses_api_agents/verifiers_agent/requirements.txt @@ -8,3 +8,5 @@ wordle alphabet-sort --extra-index-url https://hub.primeintellect.ai/primeintellect/simple/ acereason-math +i3-math +ascii-tree diff --git a/resources_servers/verifiers/scripts/create_dataset.py b/responses_api_agents/verifiers_agent/scripts/create_dataset.py similarity index 60% rename from resources_servers/verifiers/scripts/create_dataset.py rename to responses_api_agents/verifiers_agent/scripts/create_dataset.py index da6b434fb..8cf7180e4 100644 --- a/resources_servers/verifiers/scripts/create_dataset.py +++ b/responses_api_agents/verifiers_agent/scripts/create_dataset.py @@ -11,21 +11,52 @@ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. +from __future__ import annotations + import argparse import json -import sys +import logging from pathlib import Path import verifiers as vf -sys.path.insert(0, str(Path(__file__).parent.parent)) -from utils import load_verifiers_dataset +logger = logging.getLogger(__name__) + + +def load_verifiers_dataset(vf_env: vf.Environment, n: int = -1, seed: int | None = None) -> list[dict]: + try: + dataset = vf_env.get_dataset(n=n, seed=seed) + except ValueError: + dataset = None + for attr in ["dataset", "train_dataset", "eval_dataset"]: + ds = getattr(vf_env, attr, None) + if ds is not None: + dataset = ds + logger.info(f"Found dataset in vf_env.{attr}") + break + if dataset is None: + raise ValueError("Environment does not have a dataset") + if seed is not None: + dataset = dataset.shuffle(seed=seed) + if n > 0: + dataset = dataset.select(range(min(n, len(dataset)))) + + return [ + { + "prompt": dataset["prompt"][i], + "example_id": dataset["example_id"][i], + "task": dataset["task"][i], + **({"answer": dataset["answer"][i]} if "answer" in dataset.column_names else {}), + **({"info": dataset["info"][i]} if "info" in dataset.column_names else {}), + } + for i in range(len(dataset)) + ] def main(): - parser = argparse.ArgumentParser(description="Create dataset from verifiers environment") - parser.add_argument("--env-id", required=True, help="Verifiers environment ID (e.g., reverse-text)") + parser = argparse.ArgumentParser(description="Create JSONL dataset from verifiers environment") + parser.add_argument("--env-id", required=True, help="Verifiers environment ID (e.g., pmpp, math-env-rlm)") parser.add_argument("--env-args", default="{}", help="JSON string of environment arguments") parser.add_argument("--size", type=int, default=-1, help="Number of examples (-1 for all)") parser.add_argument("--seed", type=int, default=None, help="Random seed for shuffling") @@ -53,6 +84,10 @@ def main(): "responses_create_params": { "input": row["prompt"], }, + "agent_ref": { + "type": "responses_api_agents", + "name": "verifiers_agent", + }, "question": row["prompt"][-1]["content"] if row["prompt"] else "", "answer": row.get("answer", ""), "task": row["task"], diff --git a/responses_api_agents/verifiers_agent/tests/test_app.py b/responses_api_agents/verifiers_agent/tests/test_app.py index 112836ff6..98a43d6f0 100644 --- a/responses_api_agents/verifiers_agent/tests/test_app.py +++ b/responses_api_agents/verifiers_agent/tests/test_app.py @@ -14,15 +14,9 @@ # limitations under the License. from unittest.mock import MagicMock -from app import ( - VerifiersAgent, - VerifiersAgentConfig, - VerifiersAgentRunRequest, - VLLMOpenAIClient, -) +from app import VerifiersAgent, VerifiersAgentConfig -from nemo_gym.config_types import ModelServerRef, ResourcesServerRef -from nemo_gym.openai_utils import NeMoGymResponseCreateParamsNonStreaming +from nemo_gym.config_types import ModelServerRef from nemo_gym.server_utils import ServerClient @@ -33,44 +27,6 @@ def test_sanity(self) -> None: port=8080, entrypoint="", name="", - resources_server=ResourcesServerRef(type="resources_servers", name=""), model_server=ModelServerRef(type="responses_api_models", name=""), ) VerifiersAgent(config=config, server_client=MagicMock(spec=ServerClient)) - - def test_vllm_openai_client_init(self) -> None: - client = VLLMOpenAIClient(base_url="http://localhost:8000/v1") - assert client.chat is not None - assert client.chat.completions is not None - - def test_verifiers_agent_run_request(self) -> None: - req = VerifiersAgentRunRequest( - task_idx=0, - vf_env_id="test-env", - responses_create_params=NeMoGymResponseCreateParamsNonStreaming( - input=[{"role": "user", "content": "Sort: c, b, a"}] - ), - answer="a, b, c", - task="sort", - example_id=42, - ) - assert req.task_idx == 0 - assert req.vf_env_id == "test-env" - assert req.answer == "a, b, c" - assert req.task == "sort" - assert req.example_id == 42 - - def test_agent_caches_are_instance_level(self) -> None: - config = VerifiersAgentConfig( - host="0.0.0.0", - port=8080, - entrypoint="", - name="", - resources_server=ResourcesServerRef(type="resources_servers", name=""), - model_server=ModelServerRef(type="responses_api_models", name=""), - ) - agent1 = VerifiersAgent(config=config, server_client=MagicMock(spec=ServerClient)) - agent2 = VerifiersAgent(config=config, server_client=MagicMock(spec=ServerClient)) - - agent1.envs_cache["test"] = MagicMock() - assert "test" not in agent2.envs_cache From b7e991eb5ba03c30391eea6d0ba6663df102f8a2 Mon Sep 17 00:00:00 2001 From: cmunley1 <cmunley@nvidia.com> Date: Mon, 12 Jan 2026 22:43:06 -0800 Subject: [PATCH 13/31] restore pyproject Signed-off-by: cmunley1 <cmunley@nvidia.com> --- pyproject.toml | 16 +++++++++++++++- 1 file changed, 15 insertions(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index 0c0bcadb2..8973f9753 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -76,15 +76,18 @@ dependencies = [ # # By design, most (if not all) dependencies are unfrozen here to be easier to consume. The core pieces we need are server infra like FastAPI, etc. ######################################## + # OpenAI: We leverage OpenAI Responses, Chat Completions, and Completions schemas for Nemo Gym abstractions. It may also be used to directly query endpoints. # We specifically upper bound this OpenAI dependency since the version bumps so frequently. # Updated Wed Oct 29, 2025 with openai==2.6.1 # License: Apache 2.0 https://github.com/openai/openai-python/blob/a8258744cbecf51321587fc870e8920bd2c07809/LICENSE "openai<=2.6.1", + # tqdm: Used for progress tracking on batch operations. # Updated Fri Jul 25, 2025 with tqdm==4.67.1 # License: MIT https://github.com/tqdm/tqdm/blob/0ed5d7f18fa3153834cbac0aa57e8092b217cc16/LICENCE "tqdm", + # Pydantic: Used for typing and import/export. # Updated Fri Jul 25, 2025 with pydantic==2.11.7 and pydantic_core==2.33.2 # pydantic license: MIT https://github.com/pydantic/pydantic/blob/1c79f0e4d3fbdb8b93e837175d7098e016117237/LICENSE @@ -93,57 +96,68 @@ dependencies = [ "pydantic", "pydantic_core", "devtools", + # FastAPI: Used for server infrastructure # Updated Fri Jul 25, 2025 with fastapi==0.116.1 # License: MIT https://github.com/fastapi/fastapi/blob/6df50d40fe195adc026af169d6ebf298a1c183a5/LICENSE "fastapi", + # Uvicorn: Used to serve FastAPI apps # Updated Mon Jul 28, 2025 with uvicorn==0.35.0 # License: BSD 3-Clause https://github.com/encode/uvicorn/blob/c1144fd4f130388cffc05ee17b08747ce8c1be11/LICENSE.md "uvicorn", + # UVLoop: a faster async event loop than Python's native asyncio. Used automatically by Uvicorn as an async loop backend. # Updated Fri Aug 01, 2025 with uvloop==0.21.0 # License: Apache 2.0 and MIT https://github.com/MagicStack/uvloop/blob/96b7ed31afaf02800d779a395591da6a2c8c50e1/LICENSE-APACHE https://github.com/MagicStack/uvloop/blob/96b7ed31afaf02800d779a395591da6a2c8c50e1/LICENSE-MIT "uvloop", + # Hydra and OmegaConf: CLI Configuration utilities # Updated Tue Jul 29, 2025 with hydra-core==1.3.2 and omegaconf==2.3.0 # hydra-core license: MIT https://github.com/facebookresearch/hydra/blob/737fc3349ef3a4031035645f7e8c80be66a57042/LICENSE # omegaconf license: BSD 3-Clause https://github.com/omry/omegaconf/blob/117f7de07285e4d1324b9229eaf873de15279457/LICENSE "hydra-core", "omegaconf", + # Gradio: For simple frontend interfaces for viewing data # Updated Sun Aug 03, 2025 with gradio==5.16.0 # License: Apache 2.0 https://github.com/gradio-app/gradio/blob/2b4432edea8a62659e180e24eedd2bddbed08e77/LICENSE "gradio", + # MLFlow: used for interacting with the Gitlab model registry # Updated Tue Aug 05, 2025 with mlflow==3.2.0 # License: Apache 2.0 https://github.com/mlflow/mlflow/blob/1510ed1bc92d3a4258973005d64f64a43136e251/LICENSE.txt "mlflow", + # Tdigest: Data structure for percentiles and quantiles, specifically calculating metrics such as median in a memory-efficient way. # Updated Wed Sep 17, 2025 with tdigest==0.5.2.2 # License: MIT https://github.com/CamDavidsonPilon/tdigest/blob/e35cfd708962ae5e9d1c5d2b15a99af7b2e2f323/LICENSE.txt "tdigest>=0.5.2.2", + # aiohttp: async http backend # Updated Sun Sep 21, 2025 with aiohttp==3.12.15 # License: Apache 2.0 https://github.com/aio-libs/aiohttp/blob/9a2f146a12e3525b43e96723ef41584bf9cf784e/LICENSE.txt "aiohttp", + # yappi: profiling tool # Updated Mon Sep 22, 2025 with yappi==1.6.10 # License: MIT https://github.com/sumerc/yappi/blob/1d3f7501701e1f050b6dcd6a86fd36aec08185c7/LICENSE "yappi", + # Ray: Used for distributed processing # Updated Fri Oct 18, 2025 with ray[default]==2.46.0 # License: Apache 2.0 https://github.com/ray-project/ray/blob/master/LICENSE "ray[default]", + # psutil: Cross-platform process and system utilities # Updated: Fri Nov 07, 2025 with psutil==6.1.1 # License: BSD 3-Clause https://github.com/giampaolo/psutil/blob/master/LICENSE "psutil", + # HuggingFace datasets: for loading and converting parquet datasets # Updated Thu Dec 04, 2025 with datasets==4.4.1 # License: Apache 2.0 https://github.com/huggingface/datasets/blob/main/LICENSE "datasets", - "verifiers>=0.1.9.post0", ] [dependency-groups] From 845b8a95f62f40586f7234b59addd88292ebb649 Mon Sep 17 00:00:00 2001 From: cmunley1 <cmunley@nvidia.com> Date: Tue, 13 Jan 2026 10:13:45 -0800 Subject: [PATCH 14/31] remove transitions, simplify openai client Signed-off-by: cmunley1 <cmunley@nvidia.com> --- responses_api_agents/verifiers_agent/app.py | 50 +++++---------------- 1 file changed, 12 insertions(+), 38 deletions(-) diff --git a/responses_api_agents/verifiers_agent/app.py b/responses_api_agents/verifiers_agent/app.py index 2115ef786..0407a228d 100644 --- a/responses_api_agents/verifiers_agent/app.py +++ b/responses_api_agents/verifiers_agent/app.py @@ -15,13 +15,10 @@ import logging import traceback -from typing import Any, Literal +from typing import Any import verifiers as vf from fastapi import Body, Request, Response -from openai import AsyncOpenAI -from openai.resources.chat import AsyncChat -from openai.resources.chat.completions import AsyncCompletions from openai.types.chat.chat_completion import ChatCompletion from pydantic import ConfigDict, Field from verifiers.utils.async_utils import maybe_semaphore @@ -47,7 +44,6 @@ class VerifiersNeMoGymResponse(NeMoGymResponse): env_id: str group_id: str - contains_transitions: Literal[True] = True output: list[dict[str, Any]] reward: float metrics: dict[str, Any] = Field(default_factory=dict) @@ -62,25 +58,21 @@ class VerifiersAgentVerifyResponse(BaseVerifyResponse): reward: float -class _VLLMChatCompletions(AsyncCompletions): +class VLLMOpenAIClient: def __init__(self, base_url: str) -> None: self._base_url = base_url.rstrip("/") + self.chat = self._Chat(self) + + class _Chat: + def __init__(self, client: "VLLMOpenAIClient") -> None: + self.completions = client async def create(self, *args: Any, **kwargs: Any) -> ChatCompletion: request_body: dict[str, Any] = { "model": kwargs.get("model", ""), "messages": kwargs.get("messages", []), } - for key in ( - "temperature", - "max_tokens", - "max_completion_tokens", - "top_p", - "stop", - "n", - "tools", - "tool_choice", - ): + for key in ("temperature", "max_tokens", "max_completion_tokens", "top_p", "stop", "n", "tools", "tool_choice"): if key in kwargs and kwargs[key] is not None: request_body[key] = kwargs[key] @@ -126,25 +118,6 @@ async def create(self, *args: Any, **kwargs: Any) -> ChatCompletion: return response -class _VLLMChat(AsyncChat): - def __init__(self, base_url: str) -> None: - self._completions = _VLLMChatCompletions(base_url) - - @property - def completions(self) -> AsyncCompletions: - return self._completions - - -class VLLMOpenAIClient(AsyncOpenAI): - def __init__(self, base_url: str) -> None: - super().__init__(api_key="dummy", base_url=base_url) - self._chat = _VLLMChat(base_url) - - @property - def chat(self) -> AsyncChat: - return self._chat - - class VerifiersAgentConfig(BaseResponsesAPIAgentConfig): model_server: ModelServerRef model_name: str = Field(default="", description="Model name for the vLLM server") @@ -189,7 +162,8 @@ def _get_env(self, vf_env_id: str) -> vf.Environment: return self.envs_cache[vf_env_id] def _get_openai_client(self) -> VLLMOpenAIClient: - if self.config.model_server.name not in self.openai_client_cache: + cache_key = self.config.model_server.name + if cache_key not in self.openai_client_cache: server_config_dict = get_first_server_config_dict( self.server_client.global_config_dict, self.config.model_server.name, @@ -199,9 +173,9 @@ def _get_openai_client(self) -> VLLMOpenAIClient: if not model_server_url.endswith("/v1"): model_server_url = model_server_url.rstrip("/") + "/v1" - self.openai_client_cache[self.config.model_server.name] = VLLMOpenAIClient(base_url=model_server_url) + self.openai_client_cache[cache_key] = VLLMOpenAIClient(base_url=model_server_url) - return self.openai_client_cache[self.config.model_server.name] + return self.openai_client_cache[cache_key] def _convert_trajectory_to_output(self, state: dict) -> list: output = [] From f9c857860d7afe09f15a7020dcb3b32bc2154864 Mon Sep 17 00:00:00 2001 From: cmunley1 <cmunley@nvidia.com> Date: Tue, 13 Jan 2026 10:15:35 -0800 Subject: [PATCH 15/31] ruff Signed-off-by: cmunley1 <cmunley@nvidia.com> --- responses_api_agents/verifiers_agent/app.py | 11 ++++++++++- 1 file changed, 10 insertions(+), 1 deletion(-) diff --git a/responses_api_agents/verifiers_agent/app.py b/responses_api_agents/verifiers_agent/app.py index 0407a228d..69202f470 100644 --- a/responses_api_agents/verifiers_agent/app.py +++ b/responses_api_agents/verifiers_agent/app.py @@ -72,7 +72,16 @@ async def create(self, *args: Any, **kwargs: Any) -> ChatCompletion: "model": kwargs.get("model", ""), "messages": kwargs.get("messages", []), } - for key in ("temperature", "max_tokens", "max_completion_tokens", "top_p", "stop", "n", "tools", "tool_choice"): + for key in ( + "temperature", + "max_tokens", + "max_completion_tokens", + "top_p", + "stop", + "n", + "tools", + "tool_choice", + ): if key in kwargs and kwargs[key] is not None: request_body[key] = kwargs[key] From ef01a64be9fe7cdc4953a5509917cba0a27a88f9 Mon Sep 17 00:00:00 2001 From: cmunley1 <cmunley@nvidia.com> Date: Tue, 13 Jan 2026 10:40:29 -0800 Subject: [PATCH 16/31] abs import Signed-off-by: cmunley1 <cmunley@nvidia.com> --- responses_api_agents/verifiers_agent/tests/test_app.py | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/responses_api_agents/verifiers_agent/tests/test_app.py b/responses_api_agents/verifiers_agent/tests/test_app.py index 98a43d6f0..2d4f26443 100644 --- a/responses_api_agents/verifiers_agent/tests/test_app.py +++ b/responses_api_agents/verifiers_agent/tests/test_app.py @@ -14,10 +14,12 @@ # limitations under the License. from unittest.mock import MagicMock -from app import VerifiersAgent, VerifiersAgentConfig - from nemo_gym.config_types import ModelServerRef from nemo_gym.server_utils import ServerClient +from responses_api_agents.verifiers_agent.app import ( + VerifiersAgent, + VerifiersAgentConfig, +) class TestApp: From 61fdbe8ceb951b3512342b5d68c325ce8d532f33 Mon Sep 17 00:00:00 2001 From: cmunley1 <cmunley@nvidia.com> Date: Tue, 13 Jan 2026 10:50:05 -0800 Subject: [PATCH 17/31] readme Signed-off-by: cmunley1 <cmunley@nvidia.com> --- responses_api_agents/verifiers_agent/README.md | 11 +++++++++++ 1 file changed, 11 insertions(+) create mode 100644 responses_api_agents/verifiers_agent/README.md diff --git a/responses_api_agents/verifiers_agent/README.md b/responses_api_agents/verifiers_agent/README.md new file mode 100644 index 000000000..622f40996 --- /dev/null +++ b/responses_api_agents/verifiers_agent/README.md @@ -0,0 +1,11 @@ +# Description + +Agent for running verifiers environments. + +# Licensing information +Code: Apache 2.0 +Data: N/A + +Dependencies +- nemo_gym: Apache 2.0 +- verifiers: Apache 2.0 From a96c14ebc990fc6838afef23d6173eedfa0a0673 Mon Sep 17 00:00:00 2001 From: Christian Munley <cmunley@nvidia.com> Date: Wed, 21 Jan 2026 23:34:18 -0800 Subject: [PATCH 18/31] add readme Signed-off-by: Christian Munley <cmunley@nvidia.com> --- .../verifiers_agent/README.md | 137 +++++++++++++++++- .../configs/verifiers_acereason-math.yaml | 2 +- .../verifiers_agent/requirements.txt | 10 +- 3 files changed, 138 insertions(+), 11 deletions(-) diff --git a/responses_api_agents/verifiers_agent/README.md b/responses_api_agents/verifiers_agent/README.md index 622f40996..e7742974a 100644 --- a/responses_api_agents/verifiers_agent/README.md +++ b/responses_api_agents/verifiers_agent/README.md @@ -1,6 +1,141 @@ # Description -Agent for running verifiers environments. +This integration of Prime Intellect [verifiers](https://github.com/PrimeIntellect-ai/verifiers) enables running [Environments Hub](https://app.primeintellect.ai/dashboard/environments?ex_sort=by_sections) environments through the verifiers repo. + +No resources server is needed, as state, verification, tool logic, and typical roles of the resources server is handled already by verifiers environments. + +## Install Gym + +``` +git clone https://github.com/NVIDIA-NeMo/Gym +cd Gym +uv venv +source .venv/bin/activate +uv sync +``` + +## Test acereason-math example + +First set `env.yaml` for a local model: +``` +policy_base_url: "http://localhost:8000/v1" +policy_api_key: "dummy" +policy_model_name: "Qwen/Qwen3-4B-Instruct-2507" +``` + +Next, serve the model. + +Make sure to serve the model with longer context length than the generation length in your agent config (e.g. verifiers_acereason-math.yaml) +<!-- we could probably be smarter about that --> + +``` +uv pip install vllm +vllm serve Qwen/Qwen3-4B-Instruct-2507 --max-model-len 32768 --reasoning-parser qwen3 --enable-auto-tool-choice --tool-call-parser hermes +``` + + +Now launch NeMo Gym servers: +``` +uv sync +ng_run "+config_paths=[responses_api_agents/verifiers_agent/configs/verifiers_acereason-math.yaml,responses_api_models/vllm_model/configs/vllm_model.yaml]" +``` + +Collect rollouts +``` +ng_collect_rollouts \ + +agent_name=verifiers_agent \ + +input_jsonl_fpath=responses_api_agents/verifiers_agent/data/acereason-math-example.jsonl \ + +output_jsonl_fpath=responses_api_agents/verifiers_agent/data/acereason-math-example-rollouts.jsonl \ + +limit=5 +``` + +View a rollout in the terminal +``` +tail -n 1 responses_api_agents/verifiers_agent/data/acereason-math-example-rollouts.jsonl | jq | less +``` + + +## Testing new prime environments from environments hub + +Testing new prime environments currently requires a few steps. We have tested a handful of prime environments, but not all, and found some to work for us, others to not or require various paid API keys. + +Note that for Nemo RL training, multi-step environments currently require disabling monotonicity checks and prefix token id correction, until we patch token propagation into verifiers (or something). + +Some of the environments we found to work in developing this integration include: `primeintellect/acereason-math`, `primeintellect/i3-math`, `primeintellect/alphabet-sort`, `primeintellect/ascii-tree`. + +### Creating a new dataset + +We provide a helper script to make a verifiers dataset in `scripts/create_datset.py`. To run this for an environment, we first need to install the environment package: + +Install verifiers, prime, and an env: +``` +uv add verifiers +uv add tool prime +prime env install primeintellect/ascii-tree +``` + +Now create dataset. You can create train and validation datsets this way, but for now we just do example rollouts: +``` +python3 scripts/create_dataset.py --env-id primeintellect/ascii-tree --size 5 --output data/ascii-tree-example.jsonl +``` + +### Update agent server requirements + +For each prime env, we currently need to update agent requirements manually. For multi environment, we can include more than 1 in a server requirements, however there may be package conflicts. + +Update `requirements.txt` to: +``` +-e nemo-gym[dev] @ ../../ +verifiers>=0.1.9 +--extra-index-url https://hub.primeintellect.ai/primeintellect/simple/ +ascii-tree +``` +### Update agent config +Create `configs/verifiers_ascii-tree.yaml`, primarily updating env id, and any other env specific args: +<!-- we could prob do this automatically with one config, but for now --> +``` +verifiers_agent: + responses_api_agents: + verifiers_agent: + entrypoint: app.py + model_server: + type: responses_api_models + name: policy_model + model_name: "" + vf_env_id: ascii-tree + vf_env_args: {} + group_size: 1 + max_concurrent_generation: -1 + max_concurrent_scoring: -1 + max_tokens: 8192 + temperature: 1.0 + top_p: 1.0 + +``` + +Now launch NeMo Gym servers: +``` +uv sync +ng_run "+config_paths=[responses_api_agents/verifiers_agent/configs/ascii-tree.yaml,responses_api_models/vllm_model/configs/vllm_model.yaml]" +``` + +Collect rollouts +``` +ng_collect_rollouts \ + +agent_name=verifiers_agent \ + +input_jsonl_fpath=responses_api_agents/verifiers_agent/data/ascii-tree-example.jsonl \ + +output_jsonl_fpath=responses_api_agents/verifiers_agent/data/ascii-tree-example-rollouts.jsonl \ + +limit=5 +``` + + +## Training + +For single prime environment training, the datasets created by `create_dataset.py` work for environments we tested. + +For multi prime environment training, we suggest making a separate agent for each environment, essentially duplicating this folder with a prefix added to the name, and updating the agent config to prefix the env name in the agent name. Also update requirements. Then, we should update `agent_ref` in each env's dataset to match the new env-specific agent name, then blend them together in one for trainig, like in normal NeMo-Gym multi-environment setup. + + # Licensing information Code: Apache 2.0 diff --git a/responses_api_agents/verifiers_agent/configs/verifiers_acereason-math.yaml b/responses_api_agents/verifiers_agent/configs/verifiers_acereason-math.yaml index 7bfba3158..7e447cbb8 100644 --- a/responses_api_agents/verifiers_agent/configs/verifiers_acereason-math.yaml +++ b/responses_api_agents/verifiers_agent/configs/verifiers_acereason-math.yaml @@ -11,6 +11,6 @@ verifiers_agent: group_size: 1 max_concurrent_generation: -1 max_concurrent_scoring: -1 - max_tokens: 16384 + max_tokens: 8192 temperature: 1.0 top_p: 1.0 diff --git a/responses_api_agents/verifiers_agent/requirements.txt b/responses_api_agents/verifiers_agent/requirements.txt index f0f021ea6..59041f48b 100644 --- a/responses_api_agents/verifiers_agent/requirements.txt +++ b/responses_api_agents/verifiers_agent/requirements.txt @@ -1,12 +1,4 @@ -e nemo-gym[dev] @ ../../ verifiers>=0.1.9 ---extra-index-url https://hub.primeintellect.ai/belharethsami/simple/ -ascii-grid-maze ---extra-index-url https://hub.primeintellect.ai/will/simple/ -wordle ---extra-index-url https://hub.primeintellect.ai/kalomaze/simple/ -alphabet-sort --extra-index-url https://hub.primeintellect.ai/primeintellect/simple/ -acereason-math -i3-math -ascii-tree +acereason-math \ No newline at end of file From 35980578ca976556b5e57ac41ee206cb01e9d2c9 Mon Sep 17 00:00:00 2001 From: Christian Munley <cmunley@nvidia.com> Date: Thu, 22 Jan 2026 12:43:02 -0800 Subject: [PATCH 19/31] readme Signed-off-by: Christian Munley <cmunley@nvidia.com> --- .../verifiers_agent/README.md | 62 ++++++++++++++++++- 1 file changed, 59 insertions(+), 3 deletions(-) diff --git a/responses_api_agents/verifiers_agent/README.md b/responses_api_agents/verifiers_agent/README.md index e7742974a..124fe3818 100644 --- a/responses_api_agents/verifiers_agent/README.md +++ b/responses_api_agents/verifiers_agent/README.md @@ -36,7 +36,8 @@ vllm serve Qwen/Qwen3-4B-Instruct-2507 --max-model-len 32768 --reasoning-parser Now launch NeMo Gym servers: ``` -uv sync +uv sync # uv pip install vllm or uv add vllm can mess with the venv, so resync + ng_run "+config_paths=[responses_api_agents/verifiers_agent/configs/verifiers_acereason-math.yaml,responses_api_models/vllm_model/configs/vllm_model.yaml]" ``` @@ -61,7 +62,7 @@ Testing new prime environments currently requires a few steps. We have tested a Note that for Nemo RL training, multi-step environments currently require disabling monotonicity checks and prefix token id correction, until we patch token propagation into verifiers (or something). -Some of the environments we found to work in developing this integration include: `primeintellect/acereason-math`, `primeintellect/i3-math`, `primeintellect/alphabet-sort`, `primeintellect/ascii-tree`. +Some of the environments we found to work in developing this integration include: `primeintellect/acereason-math`, `primeintellect/i3-math`, `kalomaze/alphabet-sort` (multi-turn), `primeintellect/ascii-tree`. ### Creating a new dataset @@ -91,7 +92,7 @@ verifiers>=0.1.9 ascii-tree ``` ### Update agent config -Create `configs/verifiers_ascii-tree.yaml`, primarily updating env id, and any other env specific args: +Create `configs/ascii-tree.yaml`, primarily updating env id, and any other env specific args: <!-- we could prob do this automatically with one config, but for now --> ``` verifiers_agent: @@ -128,6 +129,61 @@ ng_collect_rollouts \ +limit=5 ``` +## Example Multi Turn + +Let's try kalomaze/alphabet-sort as an example multi-turn environment. + +First, generate an example task dataset: +``` +uv sync --reinstall # may not be necessary +prime env install kalomaze/alphabet-sort +python3 scripts/create_dataset.py --env-id kalomaze/alphabet-sort --size 5 --output data/alphabet-sort-example.jsonl +``` + +Now update the agent requirements.txt. We find for this environment we need to pin a specific version, due to recent changes in the environment. +``` +-e nemo-gym[dev] @ ../../ +verifiers>=0.1.9 +--extra-index-url https://hub.primeintellect.ai/primeintellect/simple/ +alphabet-sort==0.1.9.1 +``` + +Make new agent config alphabet-sort.yaml: +``` +verifiers_agent: + responses_api_agents: + verifiers_agent: + entrypoint: app.py + model_server: + type: responses_api_models + name: policy_model + model_name: "" + vf_env_id: alphabet-sort + vf_env_args: {} + group_size: 1 + max_concurrent_generation: -1 + max_concurrent_scoring: -1 + max_tokens: 8192 + temperature: 1.0 + top_p: 1.0 + +``` + +Restart NeMo-Gym servers: +``` +uv sync +ng_run "+config_paths=[responses_api_agents/verifiers_agent/configs/alphabet-sort.yaml,responses_api_models/vllm_model/configs/vllm_model.yaml]" +``` + + +Collect rollouts: +``` +ng_collect_rollouts \ + +agent_name=verifiers_agent \ + +input_jsonl_fpath=responses_api_agents/verifiers_agent/data/alphabet-sort-example.jsonl \ + +output_jsonl_fpath=responses_api_agents/verifiers_agent/data/alphabet-sort-example-rollouts.jsonl \ + +limit=5 +``` ## Training From e077371d6b073aab984167a0a9cbbde8e36c92d8 Mon Sep 17 00:00:00 2001 From: Christian Munley <cmunley@nvidia.com> Date: Thu, 22 Jan 2026 13:18:45 -0800 Subject: [PATCH 20/31] cfg rename, readme Signed-off-by: Christian Munley <cmunley@nvidia.com> --- responses_api_agents/verifiers_agent/README.md | 10 ++++++---- ...rifiers_acereason-math.yaml => acereason-math.yaml} | 0 2 files changed, 6 insertions(+), 4 deletions(-) rename responses_api_agents/verifiers_agent/configs/{verifiers_acereason-math.yaml => acereason-math.yaml} (100%) diff --git a/responses_api_agents/verifiers_agent/README.md b/responses_api_agents/verifiers_agent/README.md index 124fe3818..bfe41df48 100644 --- a/responses_api_agents/verifiers_agent/README.md +++ b/responses_api_agents/verifiers_agent/README.md @@ -25,7 +25,7 @@ policy_model_name: "Qwen/Qwen3-4B-Instruct-2507" Next, serve the model. -Make sure to serve the model with longer context length than the generation length in your agent config (e.g. verifiers_acereason-math.yaml) +Make sure to serve the model with longer context length than the generation length in your agent config (e.g. acereason-math.yaml) <!-- we could probably be smarter about that --> ``` @@ -36,7 +36,7 @@ vllm serve Qwen/Qwen3-4B-Instruct-2507 --max-model-len 32768 --reasoning-parser Now launch NeMo Gym servers: ``` -uv sync # uv pip install vllm or uv add vllm can mess with the venv, so resync +uv sync # uv pip install vllm can mess with the venv, so resync ng_run "+config_paths=[responses_api_agents/verifiers_agent/configs/verifiers_acereason-math.yaml,responses_api_models/vllm_model/configs/vllm_model.yaml]" ``` @@ -140,7 +140,7 @@ prime env install kalomaze/alphabet-sort python3 scripts/create_dataset.py --env-id kalomaze/alphabet-sort --size 5 --output data/alphabet-sort-example.jsonl ``` -Now update the agent requirements.txt. We find for this environment we need to pin a specific version, due to recent changes in the environment. +Now update the agent requirements.txt. We find for this environment we need to pin a specific version, and use `primeintellect/alphabet-sort` rather than `kalomaze/alphabet-sort` due to version compatibility issues. We should pin versions of verifiers and environments in case things continue to change. ``` -e nemo-gym[dev] @ ../../ verifiers>=0.1.9 @@ -185,9 +185,11 @@ ng_collect_rollouts \ +limit=5 ``` +Note we only change the env_id for each config so far, but environments can accept custom args, so we are providing separate configs in case we need these. + ## Training -For single prime environment training, the datasets created by `create_dataset.py` work for environments we tested. +For single prime environment training, the datasets created by `create_dataset.py` work for environments we tested. Training should be straightforward as with any other NeMo-Gym environment. For multi prime environment training, we suggest making a separate agent for each environment, essentially duplicating this folder with a prefix added to the name, and updating the agent config to prefix the env name in the agent name. Also update requirements. Then, we should update `agent_ref` in each env's dataset to match the new env-specific agent name, then blend them together in one for trainig, like in normal NeMo-Gym multi-environment setup. diff --git a/responses_api_agents/verifiers_agent/configs/verifiers_acereason-math.yaml b/responses_api_agents/verifiers_agent/configs/acereason-math.yaml similarity index 100% rename from responses_api_agents/verifiers_agent/configs/verifiers_acereason-math.yaml rename to responses_api_agents/verifiers_agent/configs/acereason-math.yaml From 61acb8fcd53a0f517f1e5ddffdfbd8c36fba0af9 Mon Sep 17 00:00:00 2001 From: Christian Munley <cmunley@nvidia.com> Date: Tue, 27 Jan 2026 18:55:18 -0800 Subject: [PATCH 21/31] add docs Signed-off-by: Christian Munley <cmunley@nvidia.com> --- docs/contribute/environments/index.md | 12 +- docs/index.md | 1 + docs/tutorials/index.md | 19 ++ docs/tutorials/verifiers-environments.md | 266 +++++++++++++++++++++++ 4 files changed, 297 insertions(+), 1 deletion(-) create mode 100644 docs/tutorials/verifiers-environments.md diff --git a/docs/contribute/environments/index.md b/docs/contribute/environments/index.md index 75d7bdedc..c54eb1632 100644 --- a/docs/contribute/environments/index.md +++ b/docs/contribute/environments/index.md @@ -6,7 +6,7 @@ Help advance RL training for the community by contributing new environments. The --- -::::{grid} 1 2 2 2 +::::{grid} 1 2 3 3 :gutter: 1 1 1 2 :::{grid-item-card} {octicon}`server;1.5em;sd-mr-1` New Environments @@ -17,6 +17,16 @@ Build novel training environments for coding, reasoning, tool use, games, and mo {bdg-secondary}`new-environment` ::: +:::{grid-item-card} {octicon}`package;1.5em;sd-mr-1` Verifiers Environments +:link: /tutorials/verifiers-environments +:link-type: doc +Use pre-built environments from Prime Intellect's Environments Hub. + +→ Tutorial: {doc}`/tutorials/verifiers-environments` ++++ +{bdg-secondary}`verifiers` +::: + :::{grid-item-card} {octicon}`repo;1.5em;sd-mr-1` Benchmark Integrations :link: https://github.com/NVIDIA-NeMo/Gym/tree/main/responses_api_agents/mini_swe_agent :link-type: url diff --git a/docs/index.md b/docs/index.md index da62bdd3c..a1d2ae39e 100644 --- a/docs/index.md +++ b/docs/index.md @@ -209,6 +209,7 @@ Rollout Collection <get-started/rollout-collection.md> tutorials/index.md tutorials/creating-resource-server +tutorials/verifiers-environments tutorials/offline-training-w-rollouts tutorials/nemo-rl-grpo/index.md tutorials/unsloth-training diff --git a/docs/tutorials/index.md b/docs/tutorials/index.md index 3a065ee87..f518d5f32 100644 --- a/docs/tutorials/index.md +++ b/docs/tutorials/index.md @@ -69,3 +69,22 @@ Fast, memory-efficient fine-tuning for single-step tasks: math, structured outpu ::: :::: + +--- + +## Verifiers Environments + +Run environments from Prime Intellect's Environments Hub. + +::::{grid} 1 1 1 1 +:gutter: 1 1 1 2 + +:::{grid-item-card} {octicon}`package;1.5em;sd-mr-1` Using Verifiers Environments +:link: verifiers-environments +:link-type: doc +Use diverse environments from Prime Intellect's Environments Hub with NeMo Gym. ++++ +{bdg-primary}`beginner` {bdg-secondary}`20 min` {bdg-secondary}`verifiers` {bdg-secondary}`environments-hub` +::: + +:::: diff --git a/docs/tutorials/verifiers-environments.md b/docs/tutorials/verifiers-environments.md new file mode 100644 index 000000000..900b68158 --- /dev/null +++ b/docs/tutorials/verifiers-environments.md @@ -0,0 +1,266 @@ +(using-verifiers-environments)= + +# Using Verifiers Environments + +Learn how to run environments from Prime Intellect's [Environments Hub](https://app.primeintellect.ai/dashboard/environments) within NeMo Gym. + +::::{grid} 2 +:gutter: 3 + +:::{grid-item-card} {octicon}`clock;1em;` **Time** +20 minutes +::: + +:::{grid-item-card} {octicon}`bookmark;1em;` **Prerequisites** + +- Completed {doc}`../get-started/detailed-setup` + +::: + +:::: + +--- + +## What is this integration? + +The verifiers integration enables NeMo Gym to use pre-built environments from Prime Intellect's Environments Hub. Unlike typical NeMo Gym environments that require a separate resource server, verifiers environments handle state management, verification, and tool execution internally. + +**Key differences:** +- No resource server needed - verification logic is built into the environment +- Uses an agent server that wraps verifiers environments + +**Available environments include:** +- `primeintellect/acereason-math` - Mathematical reasoning with chain-of-thought +- `kalomaze/alphabet-sort` - Multi-turn alphabetical sorting +- `primeintellect/ascii-tree` - ASCII tree generation +- And [many more (600+) on Environments Hub](https://app.primeintellect.ai/dashboard/environments) + +:::{note} +**Multi-turn environments:** Currently require disabling `enforce_monotonicity` in training configuration until token propagation is fully patched. +::: + +--- + +## 1. Install Dependencies + +Install verifiers and prime tools in the main Gym environment: + +```bash +# From the Gym repository root +uv venv +source .venv/bin/activate +uv sync +uv add verifiers +uv add tool prime +``` + +Install the acereason-math environment: + +```bash +prime env install primeintellect/acereason-math +``` + +:::{tip} +The agent server's virtual environment is automatically created by `ng_run` - you don't need to build it manually. +::: + +--- + +## 2. Create Example Dataset + +Generate example tasks using the provided helper script: + +```bash +python3 responses_api_agents/verifiers_agent/scripts/create_dataset.py \ + --env-id primeintellect/acereason-math \ + --size 5 \ + --output responses_api_agents/verifiers_agent/data/acereason-math-example.jsonl +``` + +This creates a dataset with 5 example tasks from the environment. + +--- + +## 3. Update Agent Requirements + +Add the environment package to `responses_api_agents/verifiers_agent/requirements.txt`: + +```txt +-e nemo-gym[dev] @ ../../ +verifiers>=0.1.9 +--extra-index-url https://hub.primeintellect.ai/primeintellect/simple/ +acereason-math +``` + +--- + +## 4. Configure Model Server + +Set up your model server configuration in `env.yaml` at the repository root: + +```yaml +policy_base_url: "http://localhost:8000/v1" +policy_api_key: "dummy" +policy_model_name: "Qwen/Qwen3-4B-Instruct-2507" +``` + +--- + +## 5. Start the Model Server + +Serve your model with vLLM. Ensure the context length exceeds your generation length: + +```bash +uv add vllm +vllm serve Qwen/Qwen3-4B-Instruct-2507 \ + --max-model-len 32768 \ + --reasoning-parser qwen3 \ + --enable-auto-tool-choice \ + --tool-call-parser hermes +``` + +:::{tip} +The `--reasoning-parser qwen3` flag enables the model to generate chain-of-thought reasoning tokens, which are required for acereason-math. +::: + +--- + +## 6. Launch NeMo Gym Servers + +Start the verifiers agent and model server: + +```bash +ng_run "+config_paths=[responses_api_agents/verifiers_agent/configs/verifiers_acereason-math.yaml,responses_api_models/vllm_model/configs/vllm_model.yaml]" +``` + +This launches: +- **Verifiers agent** on port 5000 - wraps the acereason-math environment +- **vLLM model server proxy** - connects to your running vLLM server + +--- + +## 7. Collect Rollouts + +Generate rollouts using the example dataset: + +```bash +ng_collect_rollouts \ + +agent_name=verifiers_agent \ + +input_jsonl_fpath=responses_api_agents/verifiers_agent/data/acereason-math-example.jsonl \ + +output_jsonl_fpath=responses_api_agents/verifiers_agent/data/acereason-math-example-rollouts.jsonl \ + +limit=5 +``` + +View a rollout in the terminal: + +```bash +tail -n 1 responses_api_agents/verifiers_agent/data/acereason-math-example-rollouts.jsonl | jq | less +``` + +--- + +## Understanding the Configuration + +The verifiers agent configuration (`configs/verifiers_acereason-math.yaml`) specifies: + +```yaml +verifiers_agent: + responses_api_agents: + verifiers_agent: + entrypoint: app.py + model_server: + type: responses_api_models + name: policy_model + model_name: "" + vf_env_id: acereason-math # The verifiers environment ID + vf_env_args: {} # Environment-specific arguments + group_size: 1 # Rollouts per example + max_concurrent_generation: -1 # Unlimited concurrency + max_concurrent_scoring: -1 + max_tokens: 8192 # Max generation length + temperature: 1.0 + top_p: 1.0 +``` + +**Key parameters:** +- `vf_env_id`: The environment identifier from Environments Hub +- `vf_env_args`: Optional environment-specific configuration +- `max_tokens`: Must be less than model server's `max_model_len` + +--- + +## Adding New Environments + +To use a different environment from Environments Hub: + +### 1. Install the environment package + +```bash +prime env install primeintellect/ascii-tree +``` + +### 2. Generate example data + +Use the provided helper script: + +```bash +python3 responses_api_agents/verifiers_agent/scripts/create_dataset.py \ + --env-id primeintellect/ascii-tree \ + --size 5 \ + --output responses_api_agents/verifiers_agent/data/ascii-tree-example.jsonl +``` + +### 3. Update requirements.txt + +Add the environment package to `responses_api_agents/verifiers_agent/requirements.txt`: + +```txt +-e nemo-gym[dev] @ ../../ +verifiers>=0.1.9 +--extra-index-url https://hub.primeintellect.ai/primeintellect/simple/ +ascii-tree +``` + +### 4. Create a new config file + +Copy an existing config and update the `vf_env_id`: + +```bash +cp responses_api_agents/verifiers_agent/configs/verifiers_acereason-math.yaml \ + responses_api_agents/verifiers_agent/configs/verifiers_ascii-tree.yaml +# Edit the file to change vf_env_id to "ascii-tree" +``` + +### 5. Collect rollouts + +```bash +# ng_run will automatically build the agent's venv and install requirements +ng_run "+config_paths=[responses_api_agents/verifiers_agent/configs/verifiers_ascii-tree.yaml,responses_api_models/vllm_model/configs/vllm_model.yaml]" + +ng_collect_rollouts \ + +agent_name=verifiers_agent \ + +input_jsonl_fpath=responses_api_agents/verifiers_agent/data/ascii-tree-example.jsonl \ + +output_jsonl_fpath=responses_api_agents/verifiers_agent/data/ascii-tree-example-rollouts.jsonl \ + +limit=5 +``` + +--- + +## Training with Verifiers Environments + +Training works the same as with standard NeMo Gym environments. Use the generated datasets with your preferred training framework: + +- {doc}`nemo-rl-grpo/index` for GRPO training +- {doc}`unsloth-training` for efficient single-GPU training +- {doc}`offline-training-w-rollouts` for SFT/DPO + +For multi-environment training, create separate agent instances for each environment and blend the datasets. + +--- + +## Reference + +- [Prime Intellect Environments Hub](https://app.primeintellect.ai/dashboard/environments) - Browse available environments +- [Verifiers GitHub](https://github.com/PrimeIntellect-ai/verifiers) - Verifiers library documentation +- {doc}`creating-resource-server` - For building custom NeMo Gym environments +- {doc}`../contribute/environments/new-environment` - Environment contribution guide From 58b8402b56d6b53525fcff530fc7ab68d4c8bebc Mon Sep 17 00:00:00 2001 From: Christian Munley <cmunley@nvidia.com> Date: Tue, 27 Jan 2026 22:11:24 -0800 Subject: [PATCH 22/31] docs fixes Signed-off-by: Christian Munley <cmunley@nvidia.com> --- docs/contribute/environments/index.md | 2 +- docs/tutorials/verifiers-environments.md | 77 ++++-------------------- 2 files changed, 12 insertions(+), 67 deletions(-) diff --git a/docs/contribute/environments/index.md b/docs/contribute/environments/index.md index c54eb1632..5aae9182d 100644 --- a/docs/contribute/environments/index.md +++ b/docs/contribute/environments/index.md @@ -20,7 +20,7 @@ Build novel training environments for coding, reasoning, tool use, games, and mo :::{grid-item-card} {octicon}`package;1.5em;sd-mr-1` Verifiers Environments :link: /tutorials/verifiers-environments :link-type: doc -Use pre-built environments from Prime Intellect's Environments Hub. +Build environments in verifiers that can be run in NeMo Gym. → Tutorial: {doc}`/tutorials/verifiers-environments` +++ diff --git a/docs/tutorials/verifiers-environments.md b/docs/tutorials/verifiers-environments.md index 900b68158..705fc9ed6 100644 --- a/docs/tutorials/verifiers-environments.md +++ b/docs/tutorials/verifiers-environments.md @@ -2,7 +2,7 @@ # Using Verifiers Environments -Learn how to run environments from Prime Intellect's [Environments Hub](https://app.primeintellect.ai/dashboard/environments) within NeMo Gym. +Learn how to run environments from Prime Intellect's [Environments Hub](https://app.primeintellect.ai/dashboard/environments) within NeMo Gym. If you are building an environment for Environments Hub, it can also be ran through NeMo-Gym, enabling training with NeMo-RL! ::::{grid} 2 :gutter: 3 @@ -23,18 +23,20 @@ Learn how to run environments from Prime Intellect's [Environments Hub](https:// ## What is this integration? -The verifiers integration enables NeMo Gym to use pre-built environments from Prime Intellect's Environments Hub. Unlike typical NeMo Gym environments that require a separate resource server, verifiers environments handle state management, verification, and tool execution internally. +The verifiers integration enables NeMo Gym to use environments from Prime Intellect's Environments Hub. Unlike typical NeMo Gym environments that require a separate resource server, verifiers environments handle state management, verification, and tool execution internally. **Key differences:** - No resource server needed - verification logic is built into the environment -- Uses an agent server that wraps verifiers environments +- Uses an agent server that orchestrates verifiers environments **Available environments include:** -- `primeintellect/acereason-math` - Mathematical reasoning with chain-of-thought -- `kalomaze/alphabet-sort` - Multi-turn alphabetical sorting +- `primeintellect/acereason-math` - Mathematical reasoning +- `kalomaze/alphabet-sort` - Multi-turn list sorting - `primeintellect/ascii-tree` - ASCII tree generation - And [many more (600+) on Environments Hub](https://app.primeintellect.ai/dashboard/environments) +Note that not all environments have been tested in NeMo-Gym. + :::{note} **Multi-turn environments:** Currently require disabling `enforce_monotonicity` in training configuration until token propagation is fully patched. ::: @@ -51,7 +53,7 @@ uv venv source .venv/bin/activate uv sync uv add verifiers -uv add tool prime +uv tool install prime ``` Install the acereason-math environment: @@ -130,7 +132,7 @@ The `--reasoning-parser qwen3` flag enables the model to generate chain-of-thoug Start the verifiers agent and model server: ```bash -ng_run "+config_paths=[responses_api_agents/verifiers_agent/configs/verifiers_acereason-math.yaml,responses_api_models/vllm_model/configs/vllm_model.yaml]" +ng_run "+config_paths=[responses_api_agents/verifiers_agent/configs/acereason-math.yaml,responses_api_models/vllm_model/configs/vllm_model.yaml]" ``` This launches: @@ -161,7 +163,7 @@ tail -n 1 responses_api_agents/verifiers_agent/data/acereason-math-example-rollo ## Understanding the Configuration -The verifiers agent configuration (`configs/verifiers_acereason-math.yaml`) specifies: +The verifiers agent configuration (`configs/acereason-math.yaml`) specifies: ```yaml verifiers_agent: @@ -189,62 +191,6 @@ verifiers_agent: --- -## Adding New Environments - -To use a different environment from Environments Hub: - -### 1. Install the environment package - -```bash -prime env install primeintellect/ascii-tree -``` - -### 2. Generate example data - -Use the provided helper script: - -```bash -python3 responses_api_agents/verifiers_agent/scripts/create_dataset.py \ - --env-id primeintellect/ascii-tree \ - --size 5 \ - --output responses_api_agents/verifiers_agent/data/ascii-tree-example.jsonl -``` - -### 3. Update requirements.txt - -Add the environment package to `responses_api_agents/verifiers_agent/requirements.txt`: - -```txt --e nemo-gym[dev] @ ../../ -verifiers>=0.1.9 ---extra-index-url https://hub.primeintellect.ai/primeintellect/simple/ -ascii-tree -``` - -### 4. Create a new config file - -Copy an existing config and update the `vf_env_id`: - -```bash -cp responses_api_agents/verifiers_agent/configs/verifiers_acereason-math.yaml \ - responses_api_agents/verifiers_agent/configs/verifiers_ascii-tree.yaml -# Edit the file to change vf_env_id to "ascii-tree" -``` - -### 5. Collect rollouts - -```bash -# ng_run will automatically build the agent's venv and install requirements -ng_run "+config_paths=[responses_api_agents/verifiers_agent/configs/verifiers_ascii-tree.yaml,responses_api_models/vllm_model/configs/vllm_model.yaml]" - -ng_collect_rollouts \ - +agent_name=verifiers_agent \ - +input_jsonl_fpath=responses_api_agents/verifiers_agent/data/ascii-tree-example.jsonl \ - +output_jsonl_fpath=responses_api_agents/verifiers_agent/data/ascii-tree-example-rollouts.jsonl \ - +limit=5 -``` - ---- ## Training with Verifiers Environments @@ -254,7 +200,7 @@ Training works the same as with standard NeMo Gym environments. Use the generate - {doc}`unsloth-training` for efficient single-GPU training - {doc}`offline-training-w-rollouts` for SFT/DPO -For multi-environment training, create separate agent instances for each environment and blend the datasets. +For multi-environment training, create separate agent instances for each environment by creating a separate directory for each environment, to isolate dependencies. --- @@ -262,5 +208,4 @@ For multi-environment training, create separate agent instances for each environ - [Prime Intellect Environments Hub](https://app.primeintellect.ai/dashboard/environments) - Browse available environments - [Verifiers GitHub](https://github.com/PrimeIntellect-ai/verifiers) - Verifiers library documentation -- {doc}`creating-resource-server` - For building custom NeMo Gym environments - {doc}`../contribute/environments/new-environment` - Environment contribution guide From 008d5a307b37daf4e46fb21d5bfc2bdbb4917018 Mon Sep 17 00:00:00 2001 From: Christian Munley <cmunley@nvidia.com> Date: Tue, 27 Jan 2026 22:30:19 -0800 Subject: [PATCH 23/31] remove docs in favor of docs on pr 617 Signed-off-by: Christian Munley <cmunley@nvidia.com> --- docs/contribute/environments/index.md | 12 +- docs/index.md | 1 - docs/tutorials/index.md | 19 -- docs/tutorials/verifiers-environments.md | 211 ----------------------- 4 files changed, 1 insertion(+), 242 deletions(-) delete mode 100644 docs/tutorials/verifiers-environments.md diff --git a/docs/contribute/environments/index.md b/docs/contribute/environments/index.md index 5aae9182d..75d7bdedc 100644 --- a/docs/contribute/environments/index.md +++ b/docs/contribute/environments/index.md @@ -6,7 +6,7 @@ Help advance RL training for the community by contributing new environments. The --- -::::{grid} 1 2 3 3 +::::{grid} 1 2 2 2 :gutter: 1 1 1 2 :::{grid-item-card} {octicon}`server;1.5em;sd-mr-1` New Environments @@ -17,16 +17,6 @@ Build novel training environments for coding, reasoning, tool use, games, and mo {bdg-secondary}`new-environment` ::: -:::{grid-item-card} {octicon}`package;1.5em;sd-mr-1` Verifiers Environments -:link: /tutorials/verifiers-environments -:link-type: doc -Build environments in verifiers that can be run in NeMo Gym. - -→ Tutorial: {doc}`/tutorials/verifiers-environments` -+++ -{bdg-secondary}`verifiers` -::: - :::{grid-item-card} {octicon}`repo;1.5em;sd-mr-1` Benchmark Integrations :link: https://github.com/NVIDIA-NeMo/Gym/tree/main/responses_api_agents/mini_swe_agent :link-type: url diff --git a/docs/index.md b/docs/index.md index a1d2ae39e..da62bdd3c 100644 --- a/docs/index.md +++ b/docs/index.md @@ -209,7 +209,6 @@ Rollout Collection <get-started/rollout-collection.md> tutorials/index.md tutorials/creating-resource-server -tutorials/verifiers-environments tutorials/offline-training-w-rollouts tutorials/nemo-rl-grpo/index.md tutorials/unsloth-training diff --git a/docs/tutorials/index.md b/docs/tutorials/index.md index f518d5f32..3a065ee87 100644 --- a/docs/tutorials/index.md +++ b/docs/tutorials/index.md @@ -69,22 +69,3 @@ Fast, memory-efficient fine-tuning for single-step tasks: math, structured outpu ::: :::: - ---- - -## Verifiers Environments - -Run environments from Prime Intellect's Environments Hub. - -::::{grid} 1 1 1 1 -:gutter: 1 1 1 2 - -:::{grid-item-card} {octicon}`package;1.5em;sd-mr-1` Using Verifiers Environments -:link: verifiers-environments -:link-type: doc -Use diverse environments from Prime Intellect's Environments Hub with NeMo Gym. -+++ -{bdg-primary}`beginner` {bdg-secondary}`20 min` {bdg-secondary}`verifiers` {bdg-secondary}`environments-hub` -::: - -:::: diff --git a/docs/tutorials/verifiers-environments.md b/docs/tutorials/verifiers-environments.md deleted file mode 100644 index 705fc9ed6..000000000 --- a/docs/tutorials/verifiers-environments.md +++ /dev/null @@ -1,211 +0,0 @@ -(using-verifiers-environments)= - -# Using Verifiers Environments - -Learn how to run environments from Prime Intellect's [Environments Hub](https://app.primeintellect.ai/dashboard/environments) within NeMo Gym. If you are building an environment for Environments Hub, it can also be ran through NeMo-Gym, enabling training with NeMo-RL! - -::::{grid} 2 -:gutter: 3 - -:::{grid-item-card} {octicon}`clock;1em;` **Time** -20 minutes -::: - -:::{grid-item-card} {octicon}`bookmark;1em;` **Prerequisites** - -- Completed {doc}`../get-started/detailed-setup` - -::: - -:::: - ---- - -## What is this integration? - -The verifiers integration enables NeMo Gym to use environments from Prime Intellect's Environments Hub. Unlike typical NeMo Gym environments that require a separate resource server, verifiers environments handle state management, verification, and tool execution internally. - -**Key differences:** -- No resource server needed - verification logic is built into the environment -- Uses an agent server that orchestrates verifiers environments - -**Available environments include:** -- `primeintellect/acereason-math` - Mathematical reasoning -- `kalomaze/alphabet-sort` - Multi-turn list sorting -- `primeintellect/ascii-tree` - ASCII tree generation -- And [many more (600+) on Environments Hub](https://app.primeintellect.ai/dashboard/environments) - -Note that not all environments have been tested in NeMo-Gym. - -:::{note} -**Multi-turn environments:** Currently require disabling `enforce_monotonicity` in training configuration until token propagation is fully patched. -::: - ---- - -## 1. Install Dependencies - -Install verifiers and prime tools in the main Gym environment: - -```bash -# From the Gym repository root -uv venv -source .venv/bin/activate -uv sync -uv add verifiers -uv tool install prime -``` - -Install the acereason-math environment: - -```bash -prime env install primeintellect/acereason-math -``` - -:::{tip} -The agent server's virtual environment is automatically created by `ng_run` - you don't need to build it manually. -::: - ---- - -## 2. Create Example Dataset - -Generate example tasks using the provided helper script: - -```bash -python3 responses_api_agents/verifiers_agent/scripts/create_dataset.py \ - --env-id primeintellect/acereason-math \ - --size 5 \ - --output responses_api_agents/verifiers_agent/data/acereason-math-example.jsonl -``` - -This creates a dataset with 5 example tasks from the environment. - ---- - -## 3. Update Agent Requirements - -Add the environment package to `responses_api_agents/verifiers_agent/requirements.txt`: - -```txt --e nemo-gym[dev] @ ../../ -verifiers>=0.1.9 ---extra-index-url https://hub.primeintellect.ai/primeintellect/simple/ -acereason-math -``` - ---- - -## 4. Configure Model Server - -Set up your model server configuration in `env.yaml` at the repository root: - -```yaml -policy_base_url: "http://localhost:8000/v1" -policy_api_key: "dummy" -policy_model_name: "Qwen/Qwen3-4B-Instruct-2507" -``` - ---- - -## 5. Start the Model Server - -Serve your model with vLLM. Ensure the context length exceeds your generation length: - -```bash -uv add vllm -vllm serve Qwen/Qwen3-4B-Instruct-2507 \ - --max-model-len 32768 \ - --reasoning-parser qwen3 \ - --enable-auto-tool-choice \ - --tool-call-parser hermes -``` - -:::{tip} -The `--reasoning-parser qwen3` flag enables the model to generate chain-of-thought reasoning tokens, which are required for acereason-math. -::: - ---- - -## 6. Launch NeMo Gym Servers - -Start the verifiers agent and model server: - -```bash -ng_run "+config_paths=[responses_api_agents/verifiers_agent/configs/acereason-math.yaml,responses_api_models/vllm_model/configs/vllm_model.yaml]" -``` - -This launches: -- **Verifiers agent** on port 5000 - wraps the acereason-math environment -- **vLLM model server proxy** - connects to your running vLLM server - ---- - -## 7. Collect Rollouts - -Generate rollouts using the example dataset: - -```bash -ng_collect_rollouts \ - +agent_name=verifiers_agent \ - +input_jsonl_fpath=responses_api_agents/verifiers_agent/data/acereason-math-example.jsonl \ - +output_jsonl_fpath=responses_api_agents/verifiers_agent/data/acereason-math-example-rollouts.jsonl \ - +limit=5 -``` - -View a rollout in the terminal: - -```bash -tail -n 1 responses_api_agents/verifiers_agent/data/acereason-math-example-rollouts.jsonl | jq | less -``` - ---- - -## Understanding the Configuration - -The verifiers agent configuration (`configs/acereason-math.yaml`) specifies: - -```yaml -verifiers_agent: - responses_api_agents: - verifiers_agent: - entrypoint: app.py - model_server: - type: responses_api_models - name: policy_model - model_name: "" - vf_env_id: acereason-math # The verifiers environment ID - vf_env_args: {} # Environment-specific arguments - group_size: 1 # Rollouts per example - max_concurrent_generation: -1 # Unlimited concurrency - max_concurrent_scoring: -1 - max_tokens: 8192 # Max generation length - temperature: 1.0 - top_p: 1.0 -``` - -**Key parameters:** -- `vf_env_id`: The environment identifier from Environments Hub -- `vf_env_args`: Optional environment-specific configuration -- `max_tokens`: Must be less than model server's `max_model_len` - ---- - - -## Training with Verifiers Environments - -Training works the same as with standard NeMo Gym environments. Use the generated datasets with your preferred training framework: - -- {doc}`nemo-rl-grpo/index` for GRPO training -- {doc}`unsloth-training` for efficient single-GPU training -- {doc}`offline-training-w-rollouts` for SFT/DPO - -For multi-environment training, create separate agent instances for each environment by creating a separate directory for each environment, to isolate dependencies. - ---- - -## Reference - -- [Prime Intellect Environments Hub](https://app.primeintellect.ai/dashboard/environments) - Browse available environments -- [Verifiers GitHub](https://github.com/PrimeIntellect-ai/verifiers) - Verifiers library documentation -- {doc}`../contribute/environments/new-environment` - Environment contribution guide From aa2300db5f9d040f4632ec7d59fed76fe291b5c7 Mon Sep 17 00:00:00 2001 From: Christian Munley <cmunley@nvidia.com> Date: Tue, 27 Jan 2026 22:35:00 -0800 Subject: [PATCH 24/31] readme Signed-off-by: Christian Munley <cmunley@nvidia.com> --- responses_api_agents/verifiers_agent/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/responses_api_agents/verifiers_agent/README.md b/responses_api_agents/verifiers_agent/README.md index bfe41df48..0d65706ba 100644 --- a/responses_api_agents/verifiers_agent/README.md +++ b/responses_api_agents/verifiers_agent/README.md @@ -140,7 +140,7 @@ prime env install kalomaze/alphabet-sort python3 scripts/create_dataset.py --env-id kalomaze/alphabet-sort --size 5 --output data/alphabet-sort-example.jsonl ``` -Now update the agent requirements.txt. We find for this environment we need to pin a specific version, and use `primeintellect/alphabet-sort` rather than `kalomaze/alphabet-sort` due to version compatibility issues. We should pin versions of verifiers and environments in case things continue to change. +Now update the agent requirements.txt. We find for this environment we need to pin a specific version, and use `primeintellect/alphabet-sort` here. We should pin versions of verifiers and environments in case things continue to change. ``` -e nemo-gym[dev] @ ../../ verifiers>=0.1.9 From c0efda730fe3fab28cfad6cd30e12d9d427ca425 Mon Sep 17 00:00:00 2001 From: Christian Munley <cmunley@nvidia.com> Date: Mon, 2 Feb 2026 17:57:08 -0800 Subject: [PATCH 25/31] shorten readme Signed-off-by: Christian Munley <cmunley@nvidia.com> --- .../verifiers_agent/README.md | 56 ------------------- 1 file changed, 56 deletions(-) diff --git a/responses_api_agents/verifiers_agent/README.md b/responses_api_agents/verifiers_agent/README.md index 0d65706ba..1a26b4fe2 100644 --- a/responses_api_agents/verifiers_agent/README.md +++ b/responses_api_agents/verifiers_agent/README.md @@ -129,62 +129,6 @@ ng_collect_rollouts \ +limit=5 ``` -## Example Multi Turn - -Let's try kalomaze/alphabet-sort as an example multi-turn environment. - -First, generate an example task dataset: -``` -uv sync --reinstall # may not be necessary -prime env install kalomaze/alphabet-sort -python3 scripts/create_dataset.py --env-id kalomaze/alphabet-sort --size 5 --output data/alphabet-sort-example.jsonl -``` - -Now update the agent requirements.txt. We find for this environment we need to pin a specific version, and use `primeintellect/alphabet-sort` here. We should pin versions of verifiers and environments in case things continue to change. -``` --e nemo-gym[dev] @ ../../ -verifiers>=0.1.9 ---extra-index-url https://hub.primeintellect.ai/primeintellect/simple/ -alphabet-sort==0.1.9.1 -``` - -Make new agent config alphabet-sort.yaml: -``` -verifiers_agent: - responses_api_agents: - verifiers_agent: - entrypoint: app.py - model_server: - type: responses_api_models - name: policy_model - model_name: "" - vf_env_id: alphabet-sort - vf_env_args: {} - group_size: 1 - max_concurrent_generation: -1 - max_concurrent_scoring: -1 - max_tokens: 8192 - temperature: 1.0 - top_p: 1.0 - -``` - -Restart NeMo-Gym servers: -``` -uv sync -ng_run "+config_paths=[responses_api_agents/verifiers_agent/configs/alphabet-sort.yaml,responses_api_models/vllm_model/configs/vllm_model.yaml]" -``` - - -Collect rollouts: -``` -ng_collect_rollouts \ - +agent_name=verifiers_agent \ - +input_jsonl_fpath=responses_api_agents/verifiers_agent/data/alphabet-sort-example.jsonl \ - +output_jsonl_fpath=responses_api_agents/verifiers_agent/data/alphabet-sort-example-rollouts.jsonl \ - +limit=5 -``` - Note we only change the env_id for each config so far, but environments can accept custom args, so we are providing separate configs in case we need these. ## Training From 28f21128fefb58807ec7c77d9278726ae8493df2 Mon Sep 17 00:00:00 2001 From: Christian Munley <cmunley@nvidia.com> Date: Mon, 2 Feb 2026 22:43:52 -0800 Subject: [PATCH 26/31] readme Signed-off-by: Christian Munley <cmunley@nvidia.com> --- responses_api_agents/verifiers_agent/README.md | 13 +++++-------- 1 file changed, 5 insertions(+), 8 deletions(-) diff --git a/responses_api_agents/verifiers_agent/README.md b/responses_api_agents/verifiers_agent/README.md index 1a26b4fe2..2b97aa8a7 100644 --- a/responses_api_agents/verifiers_agent/README.md +++ b/responses_api_agents/verifiers_agent/README.md @@ -58,11 +58,11 @@ tail -n 1 responses_api_agents/verifiers_agent/data/acereason-math-example-rollo ## Testing new prime environments from environments hub -Testing new prime environments currently requires a few steps. We have tested a handful of prime environments, but not all, and found some to work for us, others to not or require various paid API keys. +Testing new prime environments currently requires a few steps. -Note that for Nemo RL training, multi-step environments currently require disabling monotonicity checks and prefix token id correction, until we patch token propagation into verifiers (or something). +Note that for Nemo RL training, multi-step environments currently require disabling replace prefix tokens and on policy assertion (todo: link). -Some of the environments we found to work in developing this integration include: `primeintellect/acereason-math`, `primeintellect/i3-math`, `kalomaze/alphabet-sort` (multi-turn), `primeintellect/ascii-tree`. +Some of the environments we found to work well as exampples include: `primeintellect/acereason-math`, `primeintellect/ascii-tree` and `primeintellect/alphabet-sort`. ### Creating a new dataset @@ -93,7 +93,7 @@ ascii-tree ``` ### Update agent config Create `configs/ascii-tree.yaml`, primarily updating env id, and any other env specific args: -<!-- we could prob do this automatically with one config, but for now --> +<!-- we could probably do this automatically with one config, but for now --> ``` verifiers_agent: responses_api_agents: @@ -133,10 +133,7 @@ Note we only change the env_id for each config so far, but environments can acce ## Training -For single prime environment training, the datasets created by `create_dataset.py` work for environments we tested. Training should be straightforward as with any other NeMo-Gym environment. - -For multi prime environment training, we suggest making a separate agent for each environment, essentially duplicating this folder with a prefix added to the name, and updating the agent config to prefix the env name in the agent name. Also update requirements. Then, we should update `agent_ref` in each env's dataset to match the new env-specific agent name, then blend them together in one for trainig, like in normal NeMo-Gym multi-environment setup. - +Training with prime environments works like any other environment. However, using multiple prime environments may work best with separate agent servers for each environment for dependency isolation. # Licensing information From 03971658ce15069ed3f013c8a8cc02efbf1272a5 Mon Sep 17 00:00:00 2001 From: cmunley1 <cmunley@nvidia.com> Date: Sun, 15 Feb 2026 16:22:40 -0800 Subject: [PATCH 27/31] patch verifiers for mluti turn Signed-off-by: cmunley1 <cmunley@nvidia.com> --- responses_api_agents/verifiers_agent/app.py | 31 ++++++++++++++++++--- 1 file changed, 27 insertions(+), 4 deletions(-) diff --git a/responses_api_agents/verifiers_agent/app.py b/responses_api_agents/verifiers_agent/app.py index 69202f470..545e0ce53 100644 --- a/responses_api_agents/verifiers_agent/app.py +++ b/responses_api_agents/verifiers_agent/app.py @@ -18,10 +18,12 @@ from typing import Any import verifiers as vf +import verifiers.envs.multiturn_env as _multiturn_env_module from fastapi import Body, Request, Response from openai.types.chat.chat_completion import ChatCompletion from pydantic import ConfigDict, Field from verifiers.utils.async_utils import maybe_semaphore +from verifiers.utils.response_utils import parse_response_messages as _original_parse_response_messages from nemo_gym.base_resources_server import BaseRunRequest, BaseVerifyResponse from nemo_gym.base_responses_api_agent import BaseResponsesAPIAgentConfig, SimpleResponsesAPIAgent @@ -41,6 +43,28 @@ logger = logging.getLogger(__name__) +async def _patched_parse_response_messages(response, message_type): + messages = await _original_parse_response_messages(response, message_type) + if message_type == "chat" and isinstance(messages, list): + for msg in messages: + if isinstance(msg, dict) and msg.get("role") == "assistant": + if hasattr(response, "prompt_token_ids"): + msg["prompt_token_ids"] = response.prompt_token_ids + if response.choices and hasattr(response.choices[0], "token_ids"): + msg["generation_token_ids"] = response.choices[0].token_ids + if ( + response.choices + and response.choices[0].logprobs + and hasattr(response.choices[0].logprobs, "content") + and response.choices[0].logprobs.content + ): + msg["generation_log_probs"] = [t.logprob for t in response.choices[0].logprobs.content] + return messages + + +_multiturn_env_module.parse_response_messages = _patched_parse_response_messages + + class VerifiersNeMoGymResponse(NeMoGymResponse): env_id: str group_id: str @@ -110,6 +134,9 @@ async def create(self, *args: Any, **kwargs: Any) -> ChatCompletion: f"No generation_token_ids in response! Full message keys were: {list(choice_dict.get('message', {}).keys())}" ) + if prompt_token_ids and isinstance(prompt_token_ids[0], str): + prompt_token_ids = [int(tid) for tid in prompt_token_ids] + if generation_token_ids and isinstance(generation_token_ids[0], str): generation_token_ids = [int(tid) for tid in generation_token_ids] @@ -166,7 +193,6 @@ class VerifiersAgent(SimpleResponsesAPIAgent): def _get_env(self, vf_env_id: str) -> vf.Environment: if vf_env_id not in self.envs_cache: - logger.info(f"Loading verifiers environment: {vf_env_id}") self.envs_cache[vf_env_id] = vf.load_environment(vf_env_id, **self.config.vf_env_args) return self.envs_cache[vf_env_id] @@ -229,9 +255,6 @@ async def responses( ) -> VerifiersNeMoGymResponse: try: vf_env_id = body.vf_env_id or self.config.vf_env_id - if not vf_env_id: - raise ValueError("vf_env_id must be provided in request or config") - vf_env = self._get_env(vf_env_id) task_idx = body.task_idx From 77ba5ff04248698112b50de21594c0f39aa2bab6 Mon Sep 17 00:00:00 2001 From: cmunley1 <cmunley@nvidia.com> Date: Mon, 16 Feb 2026 00:24:52 -0800 Subject: [PATCH 28/31] doc Signed-off-by: cmunley1 <cmunley@nvidia.com> --- responses_api_agents/verifiers_agent/README.md | 3 +-- responses_api_agents/verifiers_agent/app.py | 8 +++++--- 2 files changed, 6 insertions(+), 5 deletions(-) diff --git a/responses_api_agents/verifiers_agent/README.md b/responses_api_agents/verifiers_agent/README.md index 2b97aa8a7..1284be686 100644 --- a/responses_api_agents/verifiers_agent/README.md +++ b/responses_api_agents/verifiers_agent/README.md @@ -1,6 +1,6 @@ # Description -This integration of Prime Intellect [verifiers](https://github.com/PrimeIntellect-ai/verifiers) enables running [Environments Hub](https://app.primeintellect.ai/dashboard/environments?ex_sort=by_sections) environments through the verifiers repo. +This agent enables running Prime Intellect [verifiers](https://github.com/PrimeIntellect-ai/verifiers) and [Environments Hub](https://app.primeintellect.ai/dashboard/environments?ex_sort=by_sections) in NeMo Gym and its training framework integrations. No resources server is needed, as state, verification, tool logic, and typical roles of the resources server is handled already by verifiers environments. @@ -135,7 +135,6 @@ Note we only change the env_id for each config so far, but environments can acce Training with prime environments works like any other environment. However, using multiple prime environments may work best with separate agent servers for each environment for dependency isolation. - # Licensing information Code: Apache 2.0 Data: N/A diff --git a/responses_api_agents/verifiers_agent/app.py b/responses_api_agents/verifiers_agent/app.py index 545e0ce53..8d9e07d51 100644 --- a/responses_api_agents/verifiers_agent/app.py +++ b/responses_api_agents/verifiers_agent/app.py @@ -43,6 +43,8 @@ logger = logging.getLogger(__name__) +# patch verifiers to include prompt and generation token ids and logprobs for +# re-tokenization correction in replace_prefix_tokens (https://github.com/NVIDIA-NeMo/RL/blob/main/nemo_rl/models/generation/vllm/vllm_worker_async.py#L40) async def _patched_parse_response_messages(response, message_type): messages = await _original_parse_response_messages(response, message_type) if message_type == "chat" and isinstance(messages, list): @@ -156,10 +158,10 @@ async def create(self, *args: Any, **kwargs: Any) -> ChatCompletion: class VerifiersAgentConfig(BaseResponsesAPIAgentConfig): model_server: ModelServerRef - model_name: str = Field(default="", description="Model name for the vLLM server") + model_name: str = Field(default="", description="Model name") - vf_env_id: str = Field(default="", description="Default verifiers environment ID") - vf_env_args: dict = Field(default_factory=dict, description="Environment arguments") + vf_env_id: str = Field(default="", description="Verifiers environment ID") + vf_env_args: dict = Field(default_factory=dict, description="Verifiers environment arguments") group_size: int = Field(default=1, description="Number of rollouts per example") max_concurrent_generation: int = Field(default=-1, description="Max concurrent generation requests") From 5de9f1c8dd8151f687cbe0746a494ad7335cfd8f Mon Sep 17 00:00:00 2001 From: cmunley1 <cmunley@nvidia.com> Date: Mon, 16 Feb 2026 00:55:30 -0800 Subject: [PATCH 29/31] readme Signed-off-by: cmunley1 <cmunley@nvidia.com> --- .../verifiers_agent/README.md | 34 +++++-------------- responses_api_agents/verifiers_agent/app.py | 18 +++++----- 2 files changed, 19 insertions(+), 33 deletions(-) diff --git a/responses_api_agents/verifiers_agent/README.md b/responses_api_agents/verifiers_agent/README.md index 1284be686..c4bfcf4cc 100644 --- a/responses_api_agents/verifiers_agent/README.md +++ b/responses_api_agents/verifiers_agent/README.md @@ -1,8 +1,6 @@ # Description -This agent enables running Prime Intellect [verifiers](https://github.com/PrimeIntellect-ai/verifiers) and [Environments Hub](https://app.primeintellect.ai/dashboard/environments?ex_sort=by_sections) in NeMo Gym and its training framework integrations. - -No resources server is needed, as state, verification, tool logic, and typical roles of the resources server is handled already by verifiers environments. +This agent enables running Prime Intellect [verifiers](https://github.com/PrimeIntellect-ai/verifiers) environments, including many in Prime Intellect's [Environments Hub](https://app.primeintellect.ai/dashboard/environments?ex_sort=by_sections) in NeMo Gym. ## Install Gym @@ -19,14 +17,13 @@ uv sync First set `env.yaml` for a local model: ``` policy_base_url: "http://localhost:8000/v1" -policy_api_key: "dummy" +policy_api_key: "none" policy_model_name: "Qwen/Qwen3-4B-Instruct-2507" ``` Next, serve the model. Make sure to serve the model with longer context length than the generation length in your agent config (e.g. acereason-math.yaml) -<!-- we could probably be smarter about that --> ``` uv pip install vllm @@ -36,8 +33,7 @@ vllm serve Qwen/Qwen3-4B-Instruct-2507 --max-model-len 32768 --reasoning-parser Now launch NeMo Gym servers: ``` -uv sync # uv pip install vllm can mess with the venv, so resync - +uv sync ng_run "+config_paths=[responses_api_agents/verifiers_agent/configs/verifiers_acereason-math.yaml,responses_api_models/vllm_model/configs/vllm_model.yaml]" ``` @@ -58,32 +54,26 @@ tail -n 1 responses_api_agents/verifiers_agent/data/acereason-math-example-rollo ## Testing new prime environments from environments hub -Testing new prime environments currently requires a few steps. - -Note that for Nemo RL training, multi-step environments currently require disabling replace prefix tokens and on policy assertion (todo: link). - -Some of the environments we found to work well as exampples include: `primeintellect/acereason-math`, `primeintellect/ascii-tree` and `primeintellect/alphabet-sort`. - -### Creating a new dataset +Some examples: `primeintellect/acereason-math`, `primeintellect/ascii-tree` and `primeintellect/alphabet-sort`. -We provide a helper script to make a verifiers dataset in `scripts/create_datset.py`. To run this for an environment, we first need to install the environment package: +### Install an environment -Install verifiers, prime, and an env: ``` uv add verifiers uv add tool prime prime env install primeintellect/ascii-tree ``` -Now create dataset. You can create train and validation datsets this way, but for now we just do example rollouts: +### Creating a dataset + +A helper script to make a dataset is in `scripts/create_datset.py`. + ``` python3 scripts/create_dataset.py --env-id primeintellect/ascii-tree --size 5 --output data/ascii-tree-example.jsonl ``` ### Update agent server requirements -For each prime env, we currently need to update agent requirements manually. For multi environment, we can include more than 1 in a server requirements, however there may be package conflicts. - Update `requirements.txt` to: ``` -e nemo-gym[dev] @ ../../ @@ -93,7 +83,6 @@ ascii-tree ``` ### Update agent config Create `configs/ascii-tree.yaml`, primarily updating env id, and any other env specific args: -<!-- we could probably do this automatically with one config, but for now --> ``` verifiers_agent: responses_api_agents: @@ -129,11 +118,6 @@ ng_collect_rollouts \ +limit=5 ``` -Note we only change the env_id for each config so far, but environments can accept custom args, so we are providing separate configs in case we need these. - -## Training - -Training with prime environments works like any other environment. However, using multiple prime environments may work best with separate agent servers for each environment for dependency isolation. # Licensing information Code: Apache 2.0 diff --git a/responses_api_agents/verifiers_agent/app.py b/responses_api_agents/verifiers_agent/app.py index 8d9e07d51..da8ba6022 100644 --- a/responses_api_agents/verifiers_agent/app.py +++ b/responses_api_agents/verifiers_agent/app.py @@ -163,13 +163,14 @@ class VerifiersAgentConfig(BaseResponsesAPIAgentConfig): vf_env_id: str = Field(default="", description="Verifiers environment ID") vf_env_args: dict = Field(default_factory=dict, description="Verifiers environment arguments") - group_size: int = Field(default=1, description="Number of rollouts per example") - max_concurrent_generation: int = Field(default=-1, description="Max concurrent generation requests") - max_concurrent_scoring: int = Field(default=-1, description="Max concurrent scoring requests") + max_concurrent_generation: int = Field(default=-1, description="Max concurrent generation requests (-1 = unlimited)") + max_concurrent_scoring: int = Field(default=-1, description="Max concurrent scoring requests (-1 = unlimited)") - max_tokens: int = Field(default=512, description="Max tokens for generation") - temperature: float = Field(default=1.0, description="Sampling temperature") - top_p: float = Field(default=1.0, description="Top-p sampling") + max_tokens: int = Field(default=8192, description="Max tokens for generation") + + # nemo rl generation_config overrides these + temperature: float = Field(default=1.0) + top_p: float = Field(default=1.0) class VerifiersAgentRunRequest(BaseRunRequest): @@ -280,10 +281,11 @@ async def responses( gen_sem = await maybe_semaphore(self.config.max_concurrent_generation) score_sem = await maybe_semaphore(self.config.max_concurrent_scoring) + # prefer NeMo RL generation config set in responses_create_params https://github.com/NVIDIA-NeMo/RL/blob/main/nemo_rl/experience/rollouts.py#L1045-L1046 sampling_args = { "max_tokens": self.config.max_tokens, - "temperature": self.config.temperature, - "top_p": self.config.top_p, + "temperature": getattr(body.responses_create_params, "temperature", None) or self.config.temperature, + "top_p": getattr(body.responses_create_params, "top_p", None) or self.config.top_p, } states = await vf_env.run_group( group_inputs=[rollout_input], From 3fac067a0ad9b6b6f97cc25ad7efd6bcb12db72d Mon Sep 17 00:00:00 2001 From: cmunley1 <cmunley@nvidia.com> Date: Mon, 16 Feb 2026 00:57:26 -0800 Subject: [PATCH 30/31] pre commit Signed-off-by: cmunley1 <cmunley@nvidia.com> --- responses_api_agents/verifiers_agent/app.py | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/responses_api_agents/verifiers_agent/app.py b/responses_api_agents/verifiers_agent/app.py index da8ba6022..ba4005192 100644 --- a/responses_api_agents/verifiers_agent/app.py +++ b/responses_api_agents/verifiers_agent/app.py @@ -163,11 +163,13 @@ class VerifiersAgentConfig(BaseResponsesAPIAgentConfig): vf_env_id: str = Field(default="", description="Verifiers environment ID") vf_env_args: dict = Field(default_factory=dict, description="Verifiers environment arguments") - max_concurrent_generation: int = Field(default=-1, description="Max concurrent generation requests (-1 = unlimited)") + max_concurrent_generation: int = Field( + default=-1, description="Max concurrent generation requests (-1 = unlimited)" + ) max_concurrent_scoring: int = Field(default=-1, description="Max concurrent scoring requests (-1 = unlimited)") max_tokens: int = Field(default=8192, description="Max tokens for generation") - + # nemo rl generation_config overrides these temperature: float = Field(default=1.0) top_p: float = Field(default=1.0) From a8a4a11d8870cf476430b2460f6bd5ec7afefb29 Mon Sep 17 00:00:00 2001 From: cmunley1 <cmunley@nvidia.com> Date: Mon, 16 Feb 2026 01:00:15 -0800 Subject: [PATCH 31/31] pin verifiers Signed-off-by: cmunley1 <cmunley@nvidia.com> --- responses_api_agents/verifiers_agent/README.md | 2 +- responses_api_agents/verifiers_agent/requirements.txt | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/responses_api_agents/verifiers_agent/README.md b/responses_api_agents/verifiers_agent/README.md index c4bfcf4cc..17226280c 100644 --- a/responses_api_agents/verifiers_agent/README.md +++ b/responses_api_agents/verifiers_agent/README.md @@ -77,7 +77,7 @@ python3 scripts/create_dataset.py --env-id primeintellect/ascii-tree --size 5 -- Update `requirements.txt` to: ``` -e nemo-gym[dev] @ ../../ -verifiers>=0.1.9 +verifiers==0.1.9.post3 --extra-index-url https://hub.primeintellect.ai/primeintellect/simple/ ascii-tree ``` diff --git a/responses_api_agents/verifiers_agent/requirements.txt b/responses_api_agents/verifiers_agent/requirements.txt index 59041f48b..d91417c22 100644 --- a/responses_api_agents/verifiers_agent/requirements.txt +++ b/responses_api_agents/verifiers_agent/requirements.txt @@ -1,4 +1,4 @@ -e nemo-gym[dev] @ ../../ -verifiers>=0.1.9 +verifiers==0.1.9.post3 --extra-index-url https://hub.primeintellect.ai/primeintellect/simple/ acereason-math \ No newline at end of file