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damon-mosk-aoyama-nvidia · 2025-11-01T01:14:58Z

This change updates the examples and metrics for some math datasets in accordance with a change in the input messages used for model generations to be consistent with the prompt in
https://github.com/NVIDIA-NeMo/Skills/blob/main/nemo_skills/prompt/config/generic/math.yaml#L13.

This change updates the examples and metrics for some math datasets in accordance with a change in the input messages used for model generations to be consistent with the prompt in https://github.com/NVIDIA-NeMo/Skills/blob/main/nemo_skills/prompt/config/generic/math.yaml#L13. Signed-off-by: Damon Mosk-Aoyama <dmoskaoyama@nvidia.com>

This change updates the examples and metrics for some math datasets in accordance with a change in the input messages used for model generations to be consistent with the prompt in https://github.com/NVIDIA-NeMo/Skills/blob/main/nemo_skills/prompt/config/generic/math.yaml#L13. Signed-off-by: Damon Mosk-Aoyama <dmoskaoyama@nvidia.com> Signed-off-by: Lawrence Lane <llane@nvidia.com>

This change updates the examples and metrics for some math datasets in accordance with a change in the input messages used for model generations to be consistent with the prompt in https://github.com/NVIDIA-NeMo/Skills/blob/main/nemo_skills/prompt/config/generic/math.yaml#L13. Signed-off-by: Damon Mosk-Aoyama <dmoskaoyama@nvidia.com>

This change updates the examples and metrics for some math datasets in accordance with a change in the input messages used for model generations to be consistent with the prompt in https://github.com/NVIDIA-NeMo/Skills/blob/main/nemo_skills/prompt/config/generic/math.yaml#L13. Signed-off-by: Damon Mosk-Aoyama <dmoskaoyama@nvidia.com> Signed-off-by: Lawrence Lane <llane@nvidia.com>

This change updates the examples and metrics for some math datasets in accordance with a change in the input messages used for model generations to be consistent with the prompt in https://github.com/NVIDIA-NeMo/Skills/blob/main/nemo_skills/prompt/config/generic/math.yaml#L13. Signed-off-by: Damon Mosk-Aoyama <dmoskaoyama@nvidia.com>

Signed-off-by: cmunley1 <cmunley@nvidia.com> CLI help and command help; misc improvements (#229) Signed-off-by: Brian Yu <bxyu@nvidia.com> Misc infra 20251024 (#234) Signed-off-by: Brian Yu <bxyu@nvidia.com> Fix ray version mismatch (#231) Signed-off-by: Sugam Devare <sdevare@nvidia.com> Misc fixes 20251027 (#243) Signed-off-by: Brian Yu <bxyu@nvidia.com> Validate server port selection (#233) This change adds retry logic to the server spin up process via `ng_run` in the event that there is a port conflict between the head and child(ren) server(s). --------- Signed-off-by: Frankie Siino <fsiino@nvidia.com> bxyu/misc-infra-20251027-001 (#247) Signed-off-by: Brian Yu <bxyu@nvidia.com> Fix input assistant messages (#248) Signed-off-by: Brian Yu <bxyu@nvidia.com> Misc infra 20251028 002 (#253) Signed-off-by: Brian Yu <bxyu@nvidia.com> Structured Outputs JSON Environment (#251) 1. Corresponding dataset on the spreadsheet. a. [Spreadsheet Link](https://docs.google.com/spreadsheets/d/1VK4-ZonMSR-4Ulk161Au1f-nGhs4r9V9-beScboaR3I/edit?gid=1060922318#gid=1060922318&range=14:14) b. [Dataset Seed 1](https://huggingface.co/datasets/nvidia/structured-dataset-nanov3) c. [Dataset Seed 2](https://huggingface.co/datasets/nvidia/structured-dataset-nanov3-reasoning/viewer/default/train?row=20&views%5B%5D=train) d. [Actual Train Data](https://gitlab-master.nvidia.com/bxyu/nemo-gym/-/ml/models/112#/) e. [Actual Validation Data](https://gitlab-master.nvidia.com/bxyu/nemo-gym/-/ml/models/113#/) f. data generation script also added in `resources_servers/structured_outputs/misc/data_generation/251027_nano_v3_sdg.py` 2. Description of the prompt. What is the source of the prompt, which domain is it covering? a. The prompt is a chat query which asks the model to format their output to a specific JSON output format. The content for the output must be based on a document that is provided with the user query. b. This tests the model's instruction following ability in output formatting schema adherence. The domain of the actual input is not relevant, but is a set of descriptions based on wikipedia articles. 3. Description of the environment, if there is any. a. This is a resource server for verifying the ability of the model to follow output formatting instructions under schema constraints. More detail in the README.md of the added files. 4. Description of the verifier. How is it verified and whether we have checked the correctness of the verifier. a. The verifier uses a library `openapi-schema-validator` that matches an OpenAPI-compatible schema spec with a dictionary. The correctness of the verifier is known and well-tested in their repository and through previous uses of this verifier. 5. Legal approval status? If synthetically generated by ourselves with open models, please note there so that we know we don’t need legal approval. a. Internal synthetically generated data used for seed prompt that are templated into the prompts used in the verifier. Seed data legal approval status can be found [here](https://docs.google.com/spreadsheets/d/1OMPw3DGaXETgNW-oBdueE5c5NV-NEHJdCzS5tE_aKwg/edit?gid=991274440#gid=991274440&range=5:5) 1. Run Command ```bash export MODEL=gpt-4.1-2025-04-14 export MODEL_PATH=https://api.openai.com/v1 export MODEL_API_KEY=$OPENAI_API_KEY config_paths="responses_api_models/openai_model/configs/openai_model.yaml, \ resources_servers/structured_outputs/configs/structured_outputs_json.yaml" ng_run "+config_paths=[$config_paths]" \ +policy_model_name=$MODEL \ +policy_base_url=$MODEL_PATH \ +policy_api_key=$MODEL_API_KEY & ng_collect_rollouts \ +agent_name=structured_outputs_simple_agent \ +input_jsonl_fpath=resources_servers/structured_outputs/data/example.jsonl \ +output_jsonl_fpath=resources_servers/structured_outputs/data/example_rollouts.jsonl Results: ```bash { "reward": 0.2 } ``` ```json {"responses_create_params": {"background": null, "include": null, "input": [{"content": "Parse the document and populate the following data model.\n\nDocument:\n**Patient Seasonal Allergy Assessment Summary**\n\nThe following document presents a comprehensive overview of the seasonal allergy assessment conducted for Emily Thompson, a patient with a documented history of seasonal allergies. This evaluation took place during the Spring season\u2014a period commonly associated with high environmental pollen levels due to blooming trees, grasses, and other flora. These allergens are well-known triggers for allergic rhinitis in sensitized individuals, and the timing of this assessment aligns with the typical seasonal pattern of symptom exacerbation.\n\n**Patient Identification and Assessment Context** \n- Full Name: Emily Thompson \n- Unique Patient Identifier: PAT-924785 \n- Assessment Season: Spring \n- Clinical Context: The Spring season is characterized by elevated airborne pollen counts, particularly from tree species in early spring and grasses later in the season. This environmental exposure is a primary contributor to seasonal allergic rhinitis, also known as hay fever, which manifests through upper respiratory and ocular symptoms in allergic individuals.\n\n**Presenting Symptoms and Clinical Severity** \nThe patient is currently exhibiting a constellation of symptoms consistent with seasonal allergic rhinitis. Each symptom has been confirmed present through clinical evaluation and is recorded with a boolean 'true' value in the electronic health record: \n- Sneezing: Present \n- Runny Nose (rhinorrhea): Present \n- Itchy Eyes (ocular pruritus): Present \n- Nasal Congestion: Present \n\nThe overall severity of these symptoms is classified as **moderate**. This classification indicates that the symptoms are persistent and recurrent, occurring frequently enough to interfere with daily functioning, work productivity, sleep quality, and general well-being. However, they do not meet criteria for severe impairment or acute respiratory distress, and thus do not necessitate emergency intervention or hospitalization at this time.\n\n**Medical History and Current Medication Status** \n- Prior Allergy History: Confirmed. The patient has a previously documented history of seasonal allergies, particularly during the spring months, indicating a chronic, recurring pattern of allergic sensitization and symptom expression. \n- Current Medication Use: The patient is **not** currently taking any medications to manage her allergy symptoms. \n - Currently Taking Medication: False \n - Medication Name: Not applicable (field left blank per data schema) \n - Dosage: Not applicable (field undefined) \n\nThis absence of pharmacological intervention may contribute to the current moderate symptom burden, especially during a high-exposure season.\n\n**Clinical Recommendations and Management Plan** \nTo reduce allergen exposure and alleviate symptoms, the patient has been provided with a multi-faceted management strategy that includes environmental control measures, over-the-counter (OTC) treatment options, and a recommendation for further medical evaluation.\n\n**Avoidance and Environmental Control Strategies:** \n- Limit outdoor activities during peak pollen release times, typically between 5:00 AM and 10:00 AM and again in the late afternoon. \n- Keep windows and doors closed at home and in vehicles to minimize indoor infiltration of pollen. \n- Utilize high-efficiency particulate air (HEPA) filters in central heating and cooling systems or standalone air purifiers to reduce indoor airborne allergens. \n- Shower and change clothes after spending time outdoors to remove pollen from skin, hair, and clothing. \n- Avoid line-drying laundry outside, as fabrics can trap pollen from the air.\n\n**Over-the-Counter Treatment Recommendations:** \nThe patient is advised to consider second-generation oral antihistamines, which are preferred due to their favorable side effect profile and sustained efficacy: \n- **Loratadine (e.g., Claritin)**: Non-sedating, once-daily dosing, effective for sneezing, rhinorrhea, and pruritus. \n- **Cetirizine (e.g., Zyrtec)**: Highly effective, though may cause mild drowsiness in some individuals; available in once-daily formulations. \n\nThese medications target histamine H1 receptors and help mitigate the immediate hypersensitivity response triggered by allergen exposure.\n\n**Professional Medical Follow-Up:** \n- Consult Doctor: **True** \nThe assessment explicitly recommends that the patient schedule an appointment with a healthcare provider for further evaluation. Given her history of seasonal allergies and current moderate symptom severity in the absence of medication, a clinical consultation is warranted to: \n- Confirm the diagnosis with potential allergy testing (e.g., skin prick test or serum-specific IgE testing). \n- Evaluate the need for prescription therapies such as intranasal corticosteroids (e.g., fluticasone, mometasone), leukotriene receptor antagonists (e.g., montelukast), or antihistamine nasal sprays. \n- Discuss the possibility of long-term management strategies, including allergen immunotherapy (allergy shots or sublingual tablets), if symptoms remain poorly controlled or significantly impact quality of life. \n\nIn summary, Emily Thompson (PAT-924785) is a patient with a known history of springtime seasonal allergies who is currently experiencing moderate symptoms\u2014including sneezing, rhinorrhea, itchy eyes, and nasal congestion\u2014without the use of medication. A comprehensive, evidence-based management plan has been initiated, emphasizing allergen avoidance, OTC pharmacotherapy, and a strong recommendation for medical follow-up to optimize long-term symptom control and improve seasonal quality of life.", "role": "user", "type": "message"}, {"content": "Format your response as a JSON object adhering to:\n- Schema structure: {\"assessment\": {\"type\": \"object\", \"properties\": {\"patientId\": {\"type\": \"string\"}, \"firstName\": {\"type\": \"string\"}, \"lastName\": {\"type\": \"string\"}, \"season\": {\"type\": \"string\", \"enum\": [\"Spring\", \"Summer\", \"Fall\", \"Winter\"]}, \"symptoms\": {\"type\": \"object\", \"properties\": {\"sneezing\": {\"type\": \"boolean\"}, \"runnyNose\": {\"type\": \"boolean\"}, \"itchyEyes\": {\"type\": \"boolean\"}, \"nasalCongestion\": {\"type\": \"boolean\"}, \"severity\": {\"type\": \"string\"}}, \"required\": [\"severity\"], \"additionalProperties\": false}, \"hasAllergyHistory\": {\"type\": \"boolean\"}, \"medicationUse\": {\"type\": \"object\", \"properties\": {\"currentlyTakingMedication\": {\"type\": \"boolean\"}, \"medicationName\": {\"type\": \"string\"}, \"dosage\": {\"type\": \"string\"}}, \"additionalProperties\": false}, \"recommendations\": {\"type\": \"object\", \"properties\": {\"avoidanceTips\": {\"type\": \"string\"}, \"overTheCounterOptions\": {\"type\": \"string\"}, \"consultDoctor\": {\"type\": \"boolean\"}}, \"additionalProperties\": false}}, \"required\": [\"patientId\", \"firstName\", \"lastName\", \"season\", \"symptoms\", \"hasAllergyHistory\", \"medicationUse\", \"recommendations\"], \"additionalProperties\": false}}\n- Validation rules:\n * All data types are verified\n * All strings must be properly escaped\n * There are no unnecessary fields added\n * Must pass JSON schema validation\nEnsure compliance with all specifications before responding.", "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": "resp_0c352fe6007ec85c006901425754c081948ef6d9f3953e979c", "created_at": 1761690199.0, "error": null, "incomplete_details": null, "instructions": null, "metadata": {}, "model": "gpt-4.1-2025-04-14", "object": "response", "output": [{"id": "msg_0c352fe6007ec85c0069014257e98881948d4a90f60c43af12", "content": [{"annotations": [], "text": "```json\n{\n \"assessment\": {\n \"patientId\": \"PAT-924785\",\n \"firstName\": \"Emily\",\n \"lastName\": \"Thompson\",\n \"season\": \"Spring\",\n \"symptoms\": {\n \"sneezing\": true,\n \"runnyNose\": true,\n \"itchyEyes\": true,\n \"nasalCongestion\": true,\n \"severity\": \"moderate\"\n },\n \"hasAllergyHistory\": true,\n \"medicationUse\": {\n \"currentlyTakingMedication\": false,\n \"medicationName\": \"\",\n \"dosage\": \"\"\n },\n \"recommendations\": {\n \"avoidanceTips\": \"Limit outdoor activities during peak pollen times (5:00 AM - 10:00 AM and late afternoon); keep windows and doors closed at home and in vehicles; use HEPA filters in central systems or air purifiers; shower and change clothes after outdoor activities; avoid line-drying laundry outside.\",\n \"overTheCounterOptions\": \"Consider second-generation oral antihistamines such as loratadine (Claritin), which is non-sedating and effective for sneezing, rhinorrhea, and pruritus, or cetirizine (Zyrtec), which is highly effective but may cause mild drowsiness in some individuals.\",\n \"consultDoctor\": true\n }\n }\n}\n```", "type": "output_text", "logprobs": []}], "role": "assistant", "status": "completed", "type": "message"}], "parallel_tool_calls": true, "temperature": 1.0, "tool_choice": "auto", "tools": [], "top_p": 1.0, "background": false, "max_output_tokens": null, "max_tool_calls": null, "previous_response_id": null, "prompt": null, "reasoning": {"effort": null, "generate_summary": null, "summary": null}, "service_tier": "default", "status": "completed", "text": {"format": {"type": "text"}, "verbosity": "medium"}, "top_logprobs": 0, "truncation": "disabled", "usage": {"input_tokens": 1444, "input_tokens_details": {"cached_tokens": 0}, "output_tokens": 291, "output_tokens_details": {"reasoning_tokens": 0}, "total_tokens": 1735}, "user": null, "billing": {"payer": "developer"}, "prompt_cache_key": null, "safety_identifier": null, "store": true}, "reward": 0.0} {"responses_create_params": {"background": null, "include": null, "input": [{"content": "# Document:\nThe photograph was captured using the long-exposure technique, a method developed in 1840 that is especially effective for landscape photography. This approach allows for the depiction of motion blur in dynamic elements such as flowing water or drifting clouds, while preserving sharp detail in static components of the scene, resulting in a visually compelling contrast between movement and stillness. The image was taken under natural lighting conditions during clear weather, enhancing the clarity and color fidelity of the composition. Movement within the scene was primarily from flowing water, which contributed to the desired motion blur effect when combined with the extended shutter duration.\n\nCamera and lens specifications:\n- Camera model: Canon EOS R5\n- Sensor type: Full-frame (35mm equivalent)\n- Lens: 16-35mm f/2.8, set to a focal length of 24mm\n- Optical image stabilization: Enabled to minimize camera shake during long exposure\n\nExposure settings:\n- Shutter speed: 30 seconds (enabling significant light capture and motion blur)\n- Aperture: f/11 (providing a wide depth of field to keep both foreground and background elements in focus)\n- ISO: 100 (minimizing noise and maximizing dynamic range under bright natural light)\n\nPost-processing workflow:\n- Software used: Adobe Lightroom and Adobe Photoshop\n- White balance: Adjusted to 'daylight' for natural color rendition\n- Saturation: Increased by 15% to enhance vibrancy without introducing unnatural tones\n- Noise reduction:\n - Luminance noise reduction: Applied at intensity 40 to smooth grain in darker areas\n - Chrominance noise reduction: Set to 25 to eliminate color speckling\n- Sharpening: Applied at 70% to accentuate fine details, particularly in textured surfaces such as rocks and foliage\n- Output format: Saved as a high-quality TIFF file to preserve bit depth and avoid compression artifacts\n- AI tools: None used; all edits were manually performed using conventional editing techniques\n\nCreative and technical evaluation:\n- Composition score: 9 out of 10 \u2014 reflects a well-balanced arrangement with strong use of leading lines, rule of thirds, and layered depth\n- Emotional impact: High \u2014 the image evokes a sense of tranquility and timelessness due to the smooth water effect and serene natural setting\n- Focus accuracy: 9/10 \u2014 sharp throughout the intended focal plane, with precise manual or autofocus confirmation\n- Exposure balance: 8/10 \u2014 well-managed highlights and shadows, with minimal clipping in either extreme\n- Detail retention: 8/10 \u2014 excellent preservation of texture in both lit and shadowed regions, aided by optimal ISO and post-processing\n- Innovation level: Conventional \u2014 the image adheres closely to established practices in long-exposure landscape photography, prioritizing technical mastery over experimental aesthetics\n\nOverall, the photograph exemplifies a technically proficient and artistically effective application of long-exposure techniques in landscape photography, combining optimal in-camera settings, favorable environmental conditions, and meticulous post-processing to achieve a visually immersive and emotionally resonant result.\n\n# Instructions: Ensure your output validates against the given JSON schema.\nFormat your response as a JSON object adhering to:\n- Schema structure: {\"technique_metadata\": {\"type\": \"object\", \"required\": [\"technique_name\", \"origin_period\", \"primary_use_case\"], \"properties\": {\"technique_name\": {\"type\": \"string\", \"enum\": [\"long_exposure\", \"macro_photography\", \"high_dynamic_range\", \"tilt_shift\", \"light_painting\"]}, \"origin_period\": {\"type\": \"string\", \"pattern\": \"^[0-9]{4}$\"}, \"primary_use_case\": {\"type\": \"string\", \"enum\": [\"landscape\", \"portrait\", \"architectural\", \"wildlife\", \"abstract\"]}}, \"additionalProperties\": false}, \"capture_settings\": {\"type\": \"object\", \"required\": [\"camera\", \"lens\", \"exposure_triangle\", \"environmental_conditions\"], \"properties\": {\"camera\": {\"type\": \"object\", \"required\": [\"make\", \"model\", \"sensor_type\"], \"properties\": {\"make\": {\"type\": \"string\"}, \"model\": {\"type\": \"string\"}, \"sensor_type\": {\"type\": \"string\", \"enum\": [\"full_frame\", \"crop_sensor\", \"medium_format\"]}}, \"additionalProperties\": false}, \"lens\": {\"type\": \"object\", \"required\": [\"focal_length_mm\", \"aperture_max\", \"stabilization\"], \"properties\": {\"focal_length_mm\": {\"type\": \"number\"}, \"aperture_max\": {\"type\": \"number\"}, \"stabilization\": {\"type\": \"boolean\"}}, \"additionalProperties\": false}, \"exposure_triangle\": {\"type\": \"object\", \"required\": [\"shutter_speed_seconds\", \"aperture_f\", \"iso\"], \"properties\": {\"shutter_speed_seconds\": {\"type\": \"number\"}, \"aperture_f\": {\"type\": \"number\"}, \"iso\": {\"type\": \"integer\"}}, \"additionalProperties\": false}, \"environmental_conditions\": {\"type\": \"object\", \"required\": [\"lighting_type\", \"weather\", \"movement_present\"], \"properties\": {\"lighting_type\": {\"type\": \"string\", \"enum\": [\"natural\", \"artificial\", \"mixed\"]}, \"weather\": {\"type\": \"string\"}, \"movement_present\": {\"type\": \"boolean\"}}, \"additionalProperties\": false}}, \"additionalProperties\": false}, \"post_processing\": {\"type\": \"object\", \"required\": [\"software_used\", \"adjustments\", \"output_format\", \"edited_by_ai\"], \"properties\": {\"software_used\": {\"type\": \"array\", \"items\": {\"type\": \"string\"}}, \"adjustments\": {\"type\": \"object\", \"required\": [\"color_correction\", \"sharpening_level\", \"noise_reduction\"], \"properties\": {\"color_correction\": {\"type\": \"object\", \"required\": [\"white_balance\", \"saturation\"], \"properties\": {\"white_balance\": {\"type\": \"string\"}, \"saturation\": {\"type\": \"number\"}}, \"additionalProperties\": false}, \"sharpening_level\": {\"type\": \"number\", \"minimum\": 0, \"maximum\": 100}, \"noise_reduction\": {\"type\": \"object\", \"required\": [\"luminance\", \"chrominance\"], \"properties\": {\"luminance\": {\"type\": \"number\"}, \"chrominance\": {\"type\": \"number\"}}, \"additionalProperties\": false}}, \"additionalProperties\": false}, \"output_format\": {\"type\": \"string\", \"enum\": [\"JPEG\", \"PNG\", \"TIFF\", \"RAW\"]}, \"edited_by_ai\": {\"type\": \"boolean\"}}, \"additionalProperties\": false}, \"creative_evaluation\": {\"type\": \"object\", \"required\": [\"composition_score\", \"emotional_impact\", \"technical_execution\", \"innovation_level\"], \"properties\": {\"composition_score\": {\"type\": \"number\", \"minimum\": 0, \"maximum\": 10}, \"emotional_impact\": {\"type\": \"string\", \"enum\": [\"low\", \"moderate\", \"high\", \"profound\"]}, \"technical_execution\": {\"type\": \"object\", \"required\": [\"focus_accuracy\", \"exposure_balance\", \"detail_retention\"], \"properties\": {\"focus_accuracy\": {\"type\": \"number\", \"minimum\": 0, \"maximum\": 10}, \"exposure_balance\": {\"type\": \"number\", \"minimum\": 0, \"maximum\": 10}, \"detail_retention\": {\"type\": \"number\", \"minimum\": 0, \"maximum\": 10}}, \"additionalProperties\": false}, \"innovation_level\": {\"type\": \"string\", \"enum\": [\"conventional\", \"slightly_innovative\", \"highly_innovative\", \"groundbreaking\"]}}, \"additionalProperties\": false}}\n- Validation rules:\n * All data types are verified\n * All strings must be properly escaped\n * There are no unnecessary fields added\n * Must pass JSON schema validation\nEnsure compliance with all specifications before responding.", "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": "resp_09778da08f3c475c00690142574f088190ba8be98fd31d3637", "created_at": 1761690199.0, "error": null, "incomplete_details": null, "instructions": null, "metadata": {}, "model": "gpt-4.1-2025-04-14", "object": "response", "output": [{"id": "msg_09778da08f3c475c0069014257c3a88190a46304e7fb924b37", "content": [{"annotations": [], "text": "```json\n{\n \"technique_metadata\": {\n \"technique_name\": \"long_exposure\",\n \"origin_period\": \"1840\",\n \"primary_use_case\": \"landscape\"\n },\n \"capture_settings\": {\n \"camera\": {\n \"make\": \"Canon\",\n \"model\": \"EOS R5\",\n \"sensor_type\": \"full_frame\"\n },\n \"lens\": {\n \"focal_length_mm\": 24,\n \"aperture_max\": 2.8,\n \"stabilization\": true\n },\n \"exposure_triangle\": {\n \"shutter_speed_seconds\": 30,\n \"aperture_f\": 11,\n \"iso\": 100\n },\n \"environmental_conditions\": {\n \"lighting_type\": \"natural\",\n \"weather\": \"clear\",\n \"movement_present\": true\n }\n },\n \"post_processing\": {\n \"software_used\": [\n \"Adobe Lightroom\",\n \"Adobe Photoshop\"\n ],\n \"adjustments\": {\n \"color_correction\": {\n \"white_balance\": \"daylight\",\n \"saturation\": 15\n },\n \"sharpening_level\": 70,\n \"noise_reduction\": {\n \"luminance\": 40,\n \"chrominance\": 25\n }\n },\n \"output_format\": \"TIFF\",\n \"edited_by_ai\": false\n },\n \"creative_evaluation\": {\n \"composition_score\": 9,\n \"emotional_impact\": \"high\",\n \"technical_execution\": {\n \"focus_accuracy\": 9,\n \"exposure_balance\": 8,\n \"detail_retention\": 8\n },\n \"innovation_level\": \"conventional\"\n }\n}\n```", "type": "output_text", "logprobs": []}], "role": "assistant", "status": "completed", "type": "message"}], "parallel_tool_calls": true, "temperature": 1.0, "tool_choice": "auto", "tools": [], "top_p": 1.0, "background": false, "max_output_tokens": null, "max_tool_calls": null, "previous_response_id": null, "prompt": null, "reasoning": {"effort": null, "generate_summary": null, "summary": null}, "service_tier": "default", "status": "completed", "text": {"format": {"type": "text"}, "verbosity": "medium"}, "top_logprobs": 0, "truncation": "disabled", "usage": {"input_tokens": 1670, "input_tokens_details": {"cached_tokens": 0}, "output_tokens": 375, "output_tokens_details": {"reasoning_tokens": 0}, "total_tokens": 2045}, "user": null, "billing": {"payer": "developer"}, "prompt_cache_key": null, "safety_identifier": null, "store": true}, "reward": 0.0} {"responses_create_params": {"background": null, "include": null, "input": [{"content": "# Information\nThe family volunteer activity titled \"Park Cleanup Day\" is hosted by the Green Earth Organization and will take place on September 16, 2023, at Riverside Park in Springfield, Illinois. The park is located at geographic coordinates latitude 39.7817 and longitude -89.6501. The event is scheduled to last for 3 hours and is designed to be child-friendly, though it is weather-dependent and may be canceled in the event of heavy rain. The Green Earth Organization contact for the event is Jane Miller, who can be reached at +15551234567 or via email at jane.miller@greenearth.org. The organization\u2019s physical address is 123 Eco Street, Springfield, IL, 62701, United States.\n\nParticipating family members from the Lopez household include:\n- Maria Lopez, age 38, serving in a parent role and confirmed as available. She brings valuable skills in gardening and first aid.\n- James Lopez, age 14, participating as a teenager and also available. He has prior experience with basic cleanup tasks.\n- Elena Lopez, age 68, joining as a grandparent and available. She has a background in community organizing, which may assist in coordinating group efforts during the event.\n\nPreparation for the activity includes several assigned tasks and logistical considerations. Maria Lopez is responsible for confirming the family\u2019s attendance by September 10, 2023. James is tasked with packing the necessary supplies by September 15, 2023. Maria has already completed the review of safety guidelines, ensuring the family is aware of protocols during the cleanup. \n\nSupplies required for the event are a mix of organization-provided and family-provided items:\n- The Green Earth Organization will supply 5 trash grabbers.\n- The Lopez family will bring 10 garbage bags.\n- First aid kits will be shared between the family and the organization.\n\nNo special health concerns have been reported: there are no known allergies among the participants, and no mobility issues have been identified. The event is structured to accommodate participants of various ages and experience levels, promoting inclusive and safe community engagement. Given the outdoor nature of the activity, participants are advised to monitor weather forecasts leading up to the event, as heavy rain could lead to cancellation.\n\n# Problem: Extract the information from the text and format it as a JSON object matching this schema.", "role": "user", "type": "message"}, {"content": "Create a structured JSON response that:\n1. Implements proper data typing\n2. Handles special characters appropriately\n3. Includes all required fields\n4. Maintains proper nesting levels\n5. Provides appropriate array formatting\n6. Validates against schema constraints\n7. Uses consistent formatting and escaping\n8. Is unindented JSON format\n9. Is grounded in the provided dialog\n10. Strictly follows the provided schema: {\"activityName\": {\"type\": \"string\", \"minLength\": 1, \"description\": \"Name of the volunteer activity.\"}, \"organization\": {\"type\": \"object\", \"required\": [\"name\", \"contact\", \"address\"], \"additionalProperties\": false, \"properties\": {\"name\": {\"type\": \"string\", \"minLength\": 1}, \"contact\": {\"type\": \"object\", \"required\": [\"person\", \"phone\", \"email\"], \"additionalProperties\": false, \"properties\": {\"person\": {\"type\": \"string\", \"minLength\": 1}, \"phone\": {\"type\": \"string\", \"pattern\": \"^\\\\+?[1-9]\\\\d{1,14}$\"}, \"email\": {\"type\": \"string\", \"format\": \"email\"}}}, \"address\": {\"type\": \"object\", \"required\": [\"street\", \"city\", \"state\", \"zipCode\", \"country\"], \"additionalProperties\": false, \"properties\": {\"street\": {\"type\": \"string\", \"minLength\": 1}, \"city\": {\"type\": \"string\", \"minLength\": 1}, \"state\": {\"type\": \"string\", \"minLength\": 1}, \"zipCode\": {\"type\": \"string\", \"pattern\": \"^\\\\d{5}(-\\\\d{4})?$|^\\\\w\\\\d\\\\w ?\\\\d\\\\w\\\\d$\"}, \"country\": {\"type\": \"string\", \"minLength\": 1}}}}}, \"date\": {\"type\": \"string\", \"format\": \"date\", \"description\": \"Planned date of the volunteer activity.\"}, \"location\": {\"type\": \"object\", \"required\": [\"venue\", \"coordinates\"], \"additionalProperties\": false, \"properties\": {\"venue\": {\"type\": \"string\", \"minLength\": 1}, \"coordinates\": {\"type\": \"object\", \"required\": [\"latitude\", \"longitude\"], \"additionalProperties\": false, \"properties\": {\"latitude\": {\"type\": \"number\", \"minimum\": -90, \"maximum\": 90}, \"longitude\": {\"type\": \"number\", \"minimum\": -180, \"maximum\": 180}}}}}, \"familyParticipants\": {\"type\": \"array\", \"minItems\": 1, \"items\": {\"type\": \"object\", \"required\": [\"name\", \"age\", \"role\", \"availability\"], \"additionalProperties\": false, \"properties\": {\"name\": {\"type\": \"string\", \"minLength\": 1}, \"age\": {\"type\": \"integer\", \"minimum\": 0}, \"role\": {\"type\": \"string\", \"enum\": [\"parent\", \"child\", \"grandparent\", \"guardian\", \"teenager\"]}, \"availability\": {\"type\": \"boolean\"}, \"skills\": {\"type\": \"array\", \"items\": {\"type\": \"string\"}, \"uniqueItems\": true}}}}, \"activityType\": {\"type\": \"string\", \"enum\": [\"communityCleanup\", \"foodDistribution\", \"elderlyCompanionship\", \"tutoring\", \"animalCare\", \"eventSupport\"], \"description\": \"Category of volunteer work.\"}, \"durationHours\": {\"type\": \"number\", \"minimum\": 0.5, \"maximum\": 12, \"description\": \"Planned duration in hours.\"}, \"preparationTasks\": {\"type\": \"array\", \"items\": {\"type\": \"object\", \"required\": [\"task\", \"assignedTo\", \"dueDate\", \"completed\"], \"additionalProperties\": false, \"properties\": {\"task\": {\"type\": \"string\", \"minLength\": 1}, \"assignedTo\": {\"type\": \"string\", \"minLength\": 1}, 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1761690199.0, "error": null, "incomplete_details": null, "instructions": null, "metadata": {}, "model": "gpt-4.1-2025-04-14", "object": "response", "output": [{"id": "msg_0dd7b693cdade8fa0069014257e5bc8195a84c95ce92103dd0", "content": [{"annotations": [], "text": "{\"activityName\":\"Park Cleanup Day\",\"organization\":{\"name\":\"Green Earth Organization\",\"contact\":{\"person\":\"Jane Miller\",\"phone\":\"+15551234567\",\"email\":\"jane.miller@greenearth.org\"},\"address\":{\"street\":\"123 Eco Street\",\"city\":\"Springfield\",\"state\":\"IL\",\"zipCode\":\"62701\",\"country\":\"United States\"}},\"date\":\"2023-09-16\",\"location\":{\"venue\":\"Riverside Park\",\"coordinates\":{\"latitude\":39.7817,\"longitude\":-89.6501}},\"familyParticipants\":[{\"name\":\"Maria Lopez\",\"age\":38,\"role\":\"parent\",\"availability\":true,\"skills\":[\"gardening\",\"first aid\"]},{\"name\":\"James Lopez\",\"age\":14,\"role\":\"teenager\",\"availability\":true,\"skills\":[\"basic cleanup\"]},{\"name\":\"Elena Lopez\",\"age\":68,\"role\":\"grandparent\",\"availability\":true,\"skills\":[\"community organizing\"]}],\"activityType\":\"communityCleanup\",\"durationHours\":3,\"preparationTasks\":[{\"task\":\"Confirm family attendance\",\"assignedTo\":\"Maria Lopez\",\"dueDate\":\"2023-09-10\",\"completed\":false},{\"task\":\"Pack necessary supplies\",\"assignedTo\":\"James Lopez\",\"dueDate\":\"2023-09-15\",\"completed\":false},{\"task\":\"Review safety guidelines\",\"assignedTo\":\"Maria Lopez\",\"dueDate\":\"2023-09-10\",\"completed\":true}],\"suppliesNeeded\":[{\"item\":\"trash grabber\",\"quantity\":5,\"providedBy\":\"organization\"},{\"item\":\"garbage bag\",\"quantity\":10,\"providedBy\":\"family\"},{\"item\":\"first aid kit\",\"quantity\":2,\"providedBy\":\"shared\"}],\"specialConsiderations\":{\"allergies\":[],\"mobilityIssues\":false,\"childFriendly\":true,\"weatherDependent\":true,\"notes\":\"Monitor weather forecasts. Event may be canceled due to heavy rain. No reported allergies or mobility issues.\"},\"completed\":false,\"feedback\":{\"familyRating\":1,\"organizationFeedback\":\"\",\"lessonsLearned\":[],\"photosTaken\":false}}", "type": "output_text", "logprobs": []}], "role": "assistant", "status": "completed", "type": "message"}], "parallel_tool_calls": true, "temperature": 1.0, "tool_choice": "auto", "tools": [], "top_p": 1.0, "background": false, "max_output_tokens": null, "max_tool_calls": null, "previous_response_id": null, "prompt": null, "reasoning": {"effort": null, "generate_summary": null, "summary": null}, "service_tier": "default", "status": "completed", "text": {"format": {"type": "text"}, "verbosity": "medium"}, "top_logprobs": 0, "truncation": "disabled", "usage": {"input_tokens": 1683, "input_tokens_details": {"cached_tokens": 0}, "output_tokens": 407, "output_tokens_details": {"reasoning_tokens": 0}, "total_tokens": 2090}, "user": null, "billing": {"payer": "developer"}, "prompt_cache_key": null, "safety_identifier": null, "store": true}, "reward": 1.0} {"responses_create_params": {"background": null, "include": null, "input": [{"content": "Format your response as a JSON object adhering to:\n- Schema structure: {\"projectId\": {\"type\": \"string\", \"description\": \"Unique identifier for the craft project\"}, \"projectName\": {\"type\": \"string\", \"description\": \"Name of the craft project\"}, \"category\": {\"type\": \"string\", \"enum\": [\"knitting\", \"painting\", \"scrapbooking\", \"woodworking\", \"origami\", \"jewelry\"], \"description\": \"Main craft category\"}, \"materials\": {\"type\": \"array\", \"items\": {\"type\": \"object\", \"required\": [\"name\", \"quantity\", \"unit\", \"isPurchased\"], \"properties\": {\"name\": {\"type\": \"string\"}, \"quantity\": {\"type\": \"number\", \"minimum\": 0}, \"unit\": {\"type\": \"string\", \"enum\": [\"piece\", \"meter\", \"gram\", \"ounce\", \"liter\", \"unit\"]}, \"isPurchased\": {\"type\": \"boolean\", \"description\": \"Whether the material has been purchased\"}, \"supplier\": {\"type\": \"object\", \"required\": [\"name\", \"contact\"], \"properties\": {\"name\": {\"type\": \"string\"}, \"contact\": {\"type\": \"string\", \"format\": \"email\"}, \"website\": {\"type\": \"string\", \"format\": \"uri\"}}, \"additionalProperties\": false}}, \"additionalProperties\": false}}, \"steps\": {\"type\": \"array\", \"items\": {\"type\": \"object\", \"required\": [\"stepNumber\", \"instruction\", \"estimatedTimeMinutes\"], \"properties\": {\"stepNumber\": {\"type\": \"integer\", \"minimum\": 1}, \"instruction\": {\"type\": \"string\", \"description\": \"Detailed step instruction\"}, \"estimatedTimeMinutes\": {\"type\": \"integer\", \"minimum\": 1}, \"toolsRequired\": {\"type\": \"array\", \"items\": {\"type\": \"object\", \"required\": [\"toolName\", \"quantity\"], \"properties\": {\"toolName\": {\"type\": \"string\"}, \"quantity\": {\"type\": \"integer\", \"minimum\": 1}, \"isAvailable\": {\"type\": \"boolean\"}}, \"additionalProperties\": false}}, \"visualAid\": {\"type\": \"object\", \"required\": [\"url\", \"caption\"], \"properties\": {\"url\": {\"type\": \"string\", \"format\": \"uri\"}, \"caption\": {\"type\": \"string\"}, \"thumbnail\": {\"type\": \"object\", \"required\": [\"url\", \"width\", \"height\"], \"properties\": {\"url\": {\"type\": \"string\", \"format\": \"uri\"}, \"width\": {\"type\": \"integer\"}, \"height\": {\"type\": \"integer\"}}, \"additionalProperties\": false}}, \"additionalProperties\": false}}, \"additionalProperties\": false}}, \"estimatedDuration\": {\"type\": \"integer\", \"description\": \"Total estimated time to complete the project\"}, \"difficultyLevel\": {\"type\": \"string\", \"enum\": [\"beginner\", \"intermediate\", \"advanced\"], \"description\": \"Skill level required\"}, \"isCompleted\": {\"type\": \"boolean\", \"description\": \"Whether the project has been finished\"}, \"creator\": {\"type\": \"object\", \"required\": [\"name\", \"contactEmail\"], \"properties\": {\"name\": {\"type\": \"string\"}, \"contactEmail\": {\"type\": \"string\", \"format\": \"email\"}, \"profile\": {\"type\": \"object\", \"required\": [\"skillLevel\", \"joinedDate\"], \"properties\": {\"skillLevel\": {\"type\": \"string\", \"enum\": [\"novice\", \"enthusiast\", \"expert\"]}, \"joinedDate\": {\"type\": \"string\", \"format\": \"date\"}, \"badges\": {\"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"additionalProperties\": false}}, \"additionalProperties\": false}, \"lastModified\": {\"type\": \"string\", \"format\": \"date-time\", \"description\": \"Timestamp of last update\"}}\n- Validation rules:\n * All data types are verified\n * All strings must be properly escaped\n * There are no unnecessary fields added\n * Must pass JSON schema validation\nEnsure compliance with all specifications before responding.", "role": "user", "type": "message"}, {"content": "# Instrutions:\nRestructure the provided information according to the following template.\n\n# Document:\n**Origami Star Garland \u2013 Project Overview**\n\nThis craft project is titled \"Origami Star Garland\" and belongs to the category of origami, specifically designed for decorative and leisure purposes. It is ideal for individuals with prior experience in paper folding, as it is classified as an intermediate-level project. The total estimated time to complete the garland is 180 minutes (3 hours), with individual components requiring focused attention and precision.\n\n**Materials Required:**\n- 50 square sheets of patterned paper (each measuring 15x15 cm) \n- 2 meters of gold-colored satin ribbon \n- 1 pair of precision scissors \n\nAll materials have been accounted for. The paper and ribbon have already been purchased from **CraftSupplies Pro**, a trusted supplier in the crafting community. Orders can be placed via email at orders@craftsuppliespro.com or through their official website: [https://www.craftsuppliespro.com](https://www.craftsuppliespro.com). The precision scissors are confirmed to be available in your personal crafting toolkit, eliminating the need for additional purchases.\n\n**Project Creator & Background:**\nThe project was designed by **Maya Chen**, an active member of the crafting community since March 15, 2022. She holds two distinguished badges: \u201cOrigami Enthusiast\u201d and \u201cPaper Master,\u201d reflecting her expertise in paper arts. Her contact email is maya.chen.crafts@email.com. The project was last updated on April 22, 2024, at 10:30:45 UTC (timestamp: 2024-04-22T10:30:45Z), ensuring that instructions and resource links remain current.\n\n**Step-by-Step Instructions (Initial Phases):**\n\n*Step 1: Create the Waterbomb Base* \nEach of the 50 paper squares must be folded into a waterbomb base, a foundational technique in modular origami. This step takes approximately 5 minutes per unit, totaling around 250 minutes if done consecutively (though time may decrease with practice). A visual aid is provided to assist with accuracy: \n- Full image: [https://craftmedia.example.com/step1.jpg](https://craftmedia.example.com/step1.jpg) \n- Thumbnail preview (150x150 pixels): [https://craftmedia.example.com/step1-thumb.jpg](https://craftmedia.example.com/step1-thumb.jpg) \n- Caption: *\"Creating the waterbomb base\"* \n\nThis image illustrates the sequence of folds required to achieve the correct triangular structure with open and closed flaps, essential for the next phase.\n\n*Step 2: Form the Star Points* \nFollowing the waterbomb base, each unit is further manipulated to form the signature star shape. This step takes about 8 minutes per unit and relies solely on hand folding\u2014no adhesive or cutting is required at this stage. The precision scissors from your toolkit may be used later for trimming or adjusting ribbon ends, but are not needed during the folding process.\n\nOnce all 50 units are folded and shaped, they will be strung onto the 2-meter gold satin ribbon to create a luminous, cascading garland suitable for festive or home d\u00e9cor. The completed piece combines geometric elegance with vibrant patterns from the paper, resulting in a professional-quality craft that showcases both patience and skill.", "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": "resp_07727398556c75400069014257553c8197bbd741c64cbc183f", "created_at": 1761690199.0, "error": null, "incomplete_details": null, "instructions": null, "metadata": {}, "model": "gpt-4.1-2025-04-14", "object": "response", "output": [{"id": "msg_07727398556c75400069014257d8f48197833ccf4b860eab0b", "content": [{"annotations": [], "text": "```json\n{\n \"projectId\": \"origami-star-garland-001\",\n \"projectName\": \"Origami Star Garland\",\n \"category\": \"origami\",\n \"materials\": [\n {\n \"name\": \"Patterned paper (15x15 cm)\",\n \"quantity\": 50,\n \"unit\": \"piece\",\n \"isPurchased\": true,\n \"supplier\": {\n \"name\": \"CraftSupplies Pro\",\n \"contact\": \"orders@craftsuppliespro.com\",\n \"website\": \"https://www.craftsuppliespro.com\"\n }\n },\n {\n \"name\": \"Gold-colored satin ribbon\",\n \"quantity\": 2,\n \"unit\": \"meter\",\n \"isPurchased\": true,\n \"supplier\": {\n \"name\": \"CraftSupplies Pro\",\n \"contact\": \"orders@craftsuppliespro.com\",\n \"website\": \"https://www.craftsuppliespro.com\"\n }\n },\n {\n \"name\": \"Precision scissors\",\n \"quantity\": 1,\n \"unit\": \"piece\",\n \"isPurchased\": false,\n \"supplier\": {\n \"name\": \"Personal Craft Toolkit\",\n \"contact\": \"maya.chen.crafts@email.com\"\n }\n }\n ],\n \"steps\": [\n {\n \"stepNumber\": 1,\n \"instruction\": \"Fold each square sheet of patterned paper into a waterbomb base. Focus carefully on crisp folds, and repeat for all 50 sheets to ensure consistency.\",\n \"estimatedTimeMinutes\": 250,\n \"toolsRequired\": [\n {\n \"toolName\": \"Hands\",\n \"quantity\": 2,\n \"isAvailable\": true\n }\n ],\n \"visualAid\": {\n \"url\": \"https://craftmedia.example.com/step1.jpg\",\n \"caption\": \"Creating the waterbomb base\",\n \"thumbnail\": {\n \"url\": \"https://craftmedia.example.com/step1-thumb.jpg\",\n \"width\": 150,\n \"height\": 150\n }\n }\n },\n {\n \"stepNumber\": 2,\n \"instruction\": \"Manipulate each waterbomb base to form pointed star shapes. This phase involves careful hand folding, with no adhesive or cutting needed.\",\n \"estimatedTimeMinutes\": 400,\n \"toolsRequired\": [\n {\n \"toolName\": \"Hands\",\n \"quantity\": 2,\n \"isAvailable\": true\n }\n ],\n \"visualAid\": {\n \"url\": \"https://craftmedia.example.com/step2.jpg\",\n \"caption\": \"Folding the waterbomb base into star points\",\n \"thumbnail\": {\n \"url\": \"https://craftmedia.example.com/step2-thumb.jpg\",\n \"width\": 150,\n \"height\": 150\n }\n }\n }\n ],\n \"estimatedDuration\": 180,\n \"difficultyLevel\": \"intermediate\",\n \"isCompleted\": false,\n \"creator\": {\n \"name\": \"Maya Chen\",\n \"contactEmail\": \"maya.chen.crafts@email.com\",\n \"profile\": {\n \"skillLevel\": \"expert\",\n \"joinedDate\": \"2022-03-15\",\n \"badges\": [\n \"Origami Enthusiast\",\n \"Paper Master\"\n ]\n }\n },\n \"lastModified\": \"2024-04-22T10:30:45Z\"\n}\n```\n", "type": "output_text", "logprobs": []}], "role": "assistant", "status": "completed", "type": "message"}], "parallel_tool_calls": true, "temperature": 1.0, "tool_choice": "auto", "tools": [], "top_p": 1.0, "background": false, "max_output_tokens": null, "max_tool_calls": null, "previous_response_id": null, "prompt": null, "reasoning": {"effort": null, "generate_summary": null, "summary": null}, "service_tier": "default", "status": "completed", "text": {"format": {"type": "text"}, "verbosity": "medium"}, "top_logprobs": 0, "truncation": "disabled", "usage": {"input_tokens": 1558, "input_tokens_details": {"cached_tokens": 0}, "output_tokens": 731, "output_tokens_details": {"reasoning_tokens": 0}, "total_tokens": 2289}, "user": null, "billing": {"payer": "developer"}, "prompt_cache_key": null, "safety_identifier": null, "store": true}, "reward": 0.0} {"responses_create_params": {"background": null, "include": null, "input": [{"content": "Structure your response according to the following JSON schema specification: {\"festivalName\": {\"type\": \"string\", \"description\": \"Official name of the cultural festival\"}, \"location\": {\"type\": \"object\", \"properties\": {\"venue\": {\"type\": \"string\", \"description\": \"Primary venue name\"}, \"address\": {\"type\": \"object\", \"properties\": {\"street\": {\"type\": \"string\"}, \"city\": {\"type\": \"string\"}, \"country\": {\"type\": \"string\"}, \"postalCode\": {\"type\": \"string\"}}, \"required\": [\"street\", \"city\", \"country\", \"postalCode\"], \"additionalProperties\": false}, \"coordinates\": {\"type\": \"object\", \"properties\": {\"latitude\": {\"type\": \"number\"}, \"longitude\": {\"type\": \"number\"}}, \"required\": [\"latitude\", \"longitude\"], \"additionalProperties\": false}}, \"required\": [\"venue\", \"address\", \"coordinates\"], \"additionalProperties\": false}, \"dates\": {\"type\": \"object\", \"properties\": {\"startDate\": {\"type\": \"string\", \"format\": \"date\"}, \"endDate\": {\"type\": \"string\", \"format\": \"date\"}, \"openingHours\": {\"type\": \"array\", 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{\"tier\": {\"type\": \"string\"}, \"benefits\": {\"type\": \"array\", \"items\": {\"type\": \"string\"}}, \"price\": {\"type\": \"number\"}}, \"required\": [\"tier\", \"benefits\", \"price\"], \"additionalProperties\": false}}}, \"required\": [\"generalAdmission\"], \"additionalProperties\": false}, \"accommodations\": {\"type\": \"array\", \"items\": {\"type\": \"object\", \"properties\": {\"name\": {\"type\": \"string\"}, \"type\": {\"type\": \"string\", \"enum\": [\"hotel\", \"hostel\", \"guesthouse\", \"Airbnb\"]}, \"address\": {\"type\": \"object\", \"properties\": {\"street\": {\"type\": \"string\"}, \"city\": {\"type\": \"string\"}, \"country\": {\"type\": \"string\"}}, \"required\": [\"street\", \"city\", \"country\"], \"additionalProperties\": false}, \"contact\": {\"type\": \"object\", \"properties\": {\"phone\": {\"type\": \"string\"}, \"email\": {\"type\": \"string\", \"format\": \"email\"}}, \"required\": [\"phone\"], \"additionalProperties\": false}, \"booking\": {\"type\": \"object\", \"properties\": {\"confirmationNumber\": {\"type\": \"string\"}, \"checkIn\": {\"type\": \"string\", \"format\": \"date\"}, \"checkOut\": {\"type\": \"string\", \"format\": \"date\"}, \"pricePerNight\": {\"type\": \"number\"}}, \"required\": [\"confirmationNumber\", \"checkIn\", \"checkOut\"], \"additionalProperties\": false}}, \"required\": [\"name\", \"type\", \"address\", \"contact\", \"booking\"], \"additionalProperties\": false}}, \"transportation\": {\"type\": \"object\", \"properties\": {\"arrival\": {\"type\": \"object\", \"properties\": {\"mode\": {\"type\": \"string\", \"enum\": [\"flight\", \"train\", \"bus\", \"car\"]}, \"details\": {\"type\": \"object\", \"properties\": {\"flightNumber\": {\"type\": \"string\"}, \"departureTime\": {\"type\": \"string\", \"format\": \"date-time\"}, \"arrivalTime\": {\"type\": \"string\", \"format\": \"date-time\"}, \"fromLocation\": {\"type\": \"string\"}}, \"required\": [\"departureTime\", \"arrivalTime\", \"fromLocation\"], \"additionalProperties\": false}}, \"required\": [\"mode\", \"details\"], \"additionalProperties\": false}, \"localTransit\": {\"type\": \"array\", \"items\": {\"type\": \"object\", \"properties\": {\"type\": {\"type\": \"string\"}, \"route\": {\"type\": \"string\"}, \"stops\": {\"type\": \"array\", \"items\": {\"type\": \"string\"}}, \"frequencyMinutes\": {\"type\": \"integer\"}}, \"required\": [\"type\", \"stops\"], \"additionalProperties\": false}}}, \"required\": [\"arrival\", \"localTransit\"], \"additionalProperties\": false}, \"dietaryRequirements\": {\"type\": \"object\", \"properties\": {\"hasRestrictions\": {\"type\": \"boolean\"}, \"restrictions\": {\"type\": \"array\", \"items\": {\"type\": \"string\", \"enum\": [\"vegetarian\", \"vegan\", \"glutenFree\", \"halal\", \"kosher\", \"nutAllergy\"]}}, \"preferredRestaurants\": {\"type\": \"array\", \"items\": {\"type\": \"object\", \"properties\": {\"name\": {\"type\": \"string\"}, \"cuisine\": {\"type\": \"string\"}, \"address\": {\"type\": \"string\"}, \"dietaryAccommodations\": {\"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"name\", \"cuisine\"], \"additionalProperties\": false}}}, \"required\": [\"hasRestrictions\"], \"additionalProperties\": false}, \"emergencyContacts\": {\"type\": \"array\", \"items\": {\"type\": \"object\", \"properties\": {\"name\": {\"type\": \"string\"}, \"relationship\": {\"type\": \"string\"}, \"phone\": {\"type\": \"string\"}, \"email\": {\"type\": \"string\", \"format\": \"email\"}}, \"required\": [\"name\", \"relationship\", \"phone\"], \"additionalProperties\": false}}, \"personalNotes\": {\"type\": \"string\", \"description\": \"Freeform notes about the festival visit\"}, \"hasTravelInsurance\": {\"type\": \"boolean\", \"description\": \"Indicates whether the visitor has active travel insurance\"}}. Return only the JSON output.\nFit the document to the given format.\n\nThe Global Arts & Culture Festival is an upcoming celebration of international traditions, music, and creativity, set to take place from June 14 to June 16, 2024. Held at the scenic Riverside Convention Center located at 245 Culture Lane, New Orleans, LA 70112, USA, the venue sits along the riverbank and offers easy access for visitors. For precise navigation, the festival grounds are situated at latitude 29.9487 and longitude -90.0706\u2014coordinates that can be directly entered into any GPS or maps application for seamless travel planning.\n\nThe festival operates daily from 10:00 AM to 8:00 PM, allowing attendees ample time to explore the diverse range of cultural experiences on offer. Highlights include a vibrant opening parade scheduled for Friday, June 14 at 5:30 PM, followed by a powerful West African drumming performance at 6:00 PM on the Main Stage. Throughout the weekend, guests can participate in immersive activities such as a Japanese tea ceremony workshop at 11:00 AM, view a stunning textile exhibition open all three days, and enjoy various other performances and interactive displays celebrating global heritage.\n\nAdmission options are available for all preferences and budgets:\n- General Admission tickets are priced at $25 USD and remain available for purchase.\n- A VIP Gold package is offered for $95 USD, which includes premium benefits such as front-row seating for performances, access to an exclusive lounge area with complimentary refreshments, and a curated festival swag bag featuring artisanal goods and souvenirs.\n\nAccommodations have been arranged at the Magnolia Guesthouse, a charming and conveniently located lodging just a 10-minute walk from the convention center. The stay spans from June 13 (check-in) to June 17 (check-out), ensuring a comfortable and well-rested experience throughout the event. Travel plans include a flight from Chicago on American Airlines Flight AA218, arriving at 4:30 PM on June 13.\n\nLocal transportation during the festival will rely on the official festival shuttle bus service, which runs every 20 minutes connecting downtown hotels\u2014including the Magnolia Guesthouse\u2014to the Riverside Convention Center. This eco-friendly and efficient transit option ensures minimal hassle for attendees.\n\nSpecial considerations have been made for dietary needs: as a vegan, the attendee has already identified several plant-based dining options nearby, including Green Leaf Bistro, a highly rated restaurant known for its creative and nutritious vegan menu. With transportation, lodging, tickets, and meals thoughtfully planned, the stage is set for an enriching and unforgettable cultural journey.", "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": "resp_02d06d8805a2743800690142574f0881978abb10f8808904e3", "created_at": 1761690199.0, "error": null, "incomplete_details": null, "instructions": null, "metadata": {}, "model": "gpt-4.1-2025-04-14", "object": "response", "output": [{"id": "msg_02d06d8805a27438006901425806f88197bfcd837055435e49", "content": [{"annotations": [], "text": "```json\n{\n \"festivalName\": \"Global Arts & Culture Festival\",\n \"location\": {\n \"venue\": \"Riverside Convention Center\",\n \"address\": {\n \"street\": \"245 Culture Lane\",\n \"city\": \"New Orleans\",\n \"country\": \"USA\",\n \"postalCode\": \"70112\"\n },\n \"coordinates\": {\n \"latitude\": 29.9487,\n \"longitude\": -90.0706\n }\n },\n \"dates\": {\n \"startDate\": \"2024-06-14\",\n \"endDate\": \"2024-06-16\",\n \"openingHours\": [\n {\n \"day\": \"2024-06-14\",\n \"openTime\": \"10:00\",\n \"closeTime\": \"20:00\"\n },\n {\n \"day\": \"2024-06-15\",\n \"openTime\": \"10:00\",\n \"closeTime\": \"20:00\"\n },\n {\n \"day\": \"2024-06-16\",\n \"openTime\": \"10:00\",\n \"closeTime\": \"20:00\"\n }\n ]\n },\n \"events\": [\n {\n \"title\": \"Opening Parade\",\n \"type\": \"parade\",\n \"schedule\": {\n \"startTime\": \"17:30\",\n \"durationMinutes\": 45\n },\n \"performers\": [],\n \"accessibility\": {\n \"wheelchairAccessible\": true,\n \"signLanguageAvailable\": false,\n \"audioDescriptionAvailable\": false\n }\n },\n {\n \"title\": \"West African Drumming Performance\",\n \"type\": \"performance\",\n \"schedule\": {\n \"startTime\": \"18:00\",\n \"durationMinutes\": 60,\n \"stage\": \"Main Stage\"\n },\n \"performers\": [\n {\n \"name\": \"Djembefola Troupe\",\n \"role\": \"Ensemble\",\n \"nationality\": \"Senegalese\"\n }\n ],\n \"accessibility\": {\n \"wheelchairAccessible\": true,\n \"signLanguageAvailable\": true,\n \"audioDescriptionAvailable\": false\n }\n },\n {\n \"title\": \"Japanese Tea Ceremony Workshop\",\n \"type\": \"workshop\",\n \"schedule\": {\n \"startTime\": \"11:00\",\n \"durationMinutes\": 75,\n \"stage\": \"Workshop Pavilion\"\n },\n \"performers\": [\n {\n \"name\": \"Ichiko Sato\",\n \"role\": \"Tea Ceremony Host\",\n \"nationality\": \"Japanese\"\n }\n ],\n \"accessibility\": {\n \"wheelchairAccessible\": true,\n \"signLanguageAvailable\": false,\n \"audioDescriptionAvailable\": true\n }\n },\n {\n \"title\": \"Global Textile Exhibition\",\n \"type\": \"exhibition\",\n \"schedule\": {\n \"startTime\": \"10:00\",\n \"durationMinutes\": 600,\n \"stage\": \"Exhibition Hall\"\n },\n \"performers\": [],\n \"accessibility\": {\n \"wheelchairAccessible\": true,\n \"signLanguageAvailable\": false,\n \"audioDescriptionAvailable\": true\n }\n }\n ],\n \"ticketing\": {\n \"generalAdmission\": {\n \"price\": 25,\n \"currency\": \"USD\",\n \"available\": true\n },\n \"vipPackages\": [\n {\n \"tier\": \"VIP Gold\",\n \"benefits\": [\n \"Front-row seating for performances\",\n \"Access to exclusive lounge with complimentary refreshments\",\n \"Curated festival swag bag with artisanal goods and souvenirs\"\n ],\n \"price\": 95\n }\n ]\n },\n \"accommodations\": [\n {\n \"name\": \"Magnolia Guesthouse\",\n \"type\": \"guesthouse\",\n \"address\": {\n \"street\": \"153 Magnolia Ave\",\n \"city\": \"New Orleans\",\n \"country\": \"USA\"\n },\n \"contact\": {\n \"phone\": \"+1-504-555-9876\",\n \"email\": \"info@magnoliaguesthouse.com\"\n },\n \"booking\": {\n \"confirmationNumber\": \"MGH20240613A\",\n \"checkIn\": \"2024-06-13\",\n \"checkOut\": \"2024-06-17\",\n \"pricePerNight\": 120\n }\n }\n ],\n \"transportation\": {\n \"arrival\": {\n \"mode\": \"flight\",\n \"details\": {\n \"flightNumber\": \"AA218\",\n \"departureTime\": \"2024-06-13T13:25:00-05:00\",\n \"arrivalTime\": \"2024-06-13T16:30:00-05:00\",\n \"fromLocation\": \"Chicago O'Hare International Airport\"\n }\n },\n \"localTransit\": [\n {\n \"type\": \"shuttle bus\",\n \"route\": \"Downtown Hotels - Riverside Convention Center Loop\",\n \"stops\": [\"Magnolia Guesthouse\", \"Downtown Hotels\", \"Riverside Convention Center\"],\n \"frequencyMinutes\": 20\n }\n ]\n },\n \"dietaryRequirements\": {\n \"hasRestrictions\": true,\n \"restrictions\": [\"vegan\"],\n \"preferredRestaurants\": [\n {\n \"name\": \"Green Leaf Bistro\",\n \"cuisine\": \"Vegan\",\n \"address\": \"397 Canal St, New Orleans, LA 70130\",\n \"dietaryAccommodations\": [\"vegan\", \"glutenFree\", \"nutAllergy\"]\n }\n ]\n },\n \"emergencyContacts\": [\n {\n \"name\": \"Sarah Johnson\",\n \"relationship\": \"Sister\",\n \"phone\": \"+1-312-555-1234\",\n \"email\": \"sarah.johnson@email.com\"\n },\n {\n \"name\": \"James Lee\",\n \"relationship\": \"Friend\",\n \"phone\": \"+1-312-555-5678\",\n \"email\": \"jameslee@email.com\"\n }\n ],\n \"personalNotes\": \"Looking forward to experiencing diverse cultures and performances. Remember camera, bring reusable water bottle, and check for last-minute program changes via the festival app.\",\n \"hasTravelInsurance\": true\n}\n```", "type": "output_text", "logprobs": []}], "role": "assistant", "status": "completed", "type": "message"}], "parallel_tool_calls": true, "temperature": 1.0, "tool_choice": "auto", "tools": [], "top_p": 1.0, "background": false, "max_output_tokens": null, "max_tool_calls": null, "previous_response_id": null, "prompt": null, "reasoning": {"effort": null, "generate_summary": null, "summary": null}, "service_tier": "default", "status": "completed", "text": {"format": {"type": "text"}, "verbosity": "medium"}, "top_logprobs": 0, "truncation": "disabled", "usage": {"input_tokens": 2158, "input_tokens_details": {"cached_tokens": 0}, "output_tokens": 1346, "output_tokens_details": {"reasoning_tokens": 0}, "total_tokens": 3504}, "user": null, "billing": {"payer": "developer"}, "prompt_cache_key": null, "safety_identifier": null, "store": true}, "reward": 0.0} ``` Please see `resources_servers/structured_outputs/tests/test_app.py` Reward profiling ran on first 1000 samples (~10% of dataset) with 16 rollouts each. Rollouts can be found on [GitLab Artifacts](https://gitlab-master.nvidia.com/bxyu/nemo-gym/-/ml/models/114/versions/128#/) | Model | Score | |--------------------------------------|------------| | gpt-4.1-2025-04-14 | 0.4743125 | | Qwen/Qwen3-4B-Instruct-2507 | 0.637 | | Qwen/Qwen3-4B-Thinking-2507 | 0.734875 | | Qwen/Qwen3-30B-A3B-Instruct-2507 | 0.6456875 | --------- Signed-off-by: Junkeun Yi <jkyi@nvidia.com> Bump OpenAI version to 2.6.1; improve dependency constrain resolution (#255) Signed-off-by: Brian Yu <bxyu@nvidia.com> Update missing header and attributions (#237) Update headers and attributions based on OSRB requests. --------- Signed-off-by: banghuaz <banghuaz@nvidia.com> Misc infra 20251031 (#263) Signed-off-by: Brian Yu <bxyu@nvidia.com> Update math dataset examples and metrics (#265) This change updates the examples and metrics for some math datasets in accordance with a change in the input messages used for model generations to be consistent with the prompt in https://github.com/NVIDIA-NeMo/Skills/blob/main/nemo_skills/prompt/config/generic/math.yaml#L13. Signed-off-by: Damon Mosk-Aoyama <dmoskaoyama@nvidia.com> Misc infra 20251101 (#267) Signed-off-by: Brian Yu <bxyu@nvidia.com> Almost-server detection and reporting (#249) This PR provides warnings for any server failing validation and outputs the malformed or incorrect parts of the config. It also adds a new optional env variable `error_on_almost_servers` for a ValueError to be raised. Currently in the gym spinup process, any server(s) failing validation results in the server getting silently dropped and raising a generic AssertionError. --------- Signed-off-by: Frankie Siino <fsiino@nvidia.com> Miniswe env (#241) This PR adds a new agent that integrates the Mini-SWE-Agent harness for evaluating and training language models on software engineering tasks. The agent uses the SWE-Gym dataset (2,438 training instances from 11 Python repos) and SWE-bench Verified (500 human-validated test instances) to solve real-world GitHub issues in containerized environments (Docker/Singularity). ---------…

This change updates the examples and metrics for some math datasets in accordance with a change in the input messages used for model generations to be consistent with the prompt in https://github.com/NVIDIA-NeMo/Skills/blob/main/nemo_skills/prompt/config/generic/math.yaml#L13. Signed-off-by: Damon Mosk-Aoyama <dmoskaoyama@nvidia.com>

…eMo#3629) ## Summary Inkling-Small was reported at **40.17%** on Terminal-Bench 2.1 using Gym's Terminus 2 harness, against [64.7% published](https://huggingface.co/thinkingmachines/Inkling-Small#5-evaluations) with a private harness. Most of the gap turned out to come from the surrounding harness and infrastructure (stuck terminals, grading dependencies, dropped reasoning history), not from the model. This PR adds a reproducible Inkling-Small Terminal-Bench 2.1 recipe (listed in the benchmark catalog with its own `manifest.yaml`) and the fixes below. - **Results:** a full run of this work scored **59.41% (423/712)**, and a rerun at commit `173ec922a` scored **60.34% (429/711)**, with one attempt cancelled by the cluster scheduler (see [Rerun at the pre-merge commit](#rerun-at-the-pre-merge-commit)). The final code (commit `48cc31a7f`: merged `main`, terminal guidance on) scored **58.37% (415/711)** in a full run, with one attempt (task 17, attempt 3) cancelled while still running and no failures. All scores use the automatic benchmark results without manual adjustments, and individual gains come from separate comparisons that cannot be added together. - **Scope changes along the way:** items 1 and 3 were superseded by upstream changes that landed in `main` (NeMo Gym NVIDIA-NeMo#3549 and NVIDIA-NeMo#3983). The branch has merged `main` and removed the PR's own versions of those. Item 2 (terminal guidance) was dropped too, then restored once the merged-code run showed it is worth about 5 points. PR references below were checked on September 24, 2026, apart from NeMo Gym NVIDIA-NeMo#3549 and NVIDIA-NeMo#3983, which come from `main`'s git history on October 7, 2026. They provide related failure reports or implementation history; they do not establish the accuracy gains reported here or imply that this PR's exact changes were accepted upstream. Items without a linked PR rely on the local evidence described here. ## Changes 1. QEMU grading dependencies (superseded by upstream) - **Problem:** Package downloads failed while preparing the two QEMU graders. - **Result:** The original run had 13 incomplete graders out of 16 QEMU attempts. - **Original solution:** The dated Debian snapshot sources recorded in the task images were restored and the package indexes refreshed. The first full run with that change then graded all 16 QEMU attempts, with seven passing, and scored 41.43% overall. - **Current state:** [NeMo Gym NVIDIA-NeMo#3549 — retain Bullseye security packages during sandbox setup](NVIDIA-NeMo#3549), merged September 21, 2026, fixes the same failure in sandbox setup by redirecting the Debian Bullseye security source to a signed snapshot. On October 7, 2026, live sandboxes for both QEMU task images (both Debian Bullseye) were checked: with `main`'s setup alone the verifier's `apt-get update` and `apt-get install` succeed. The branch's own QEMU patch was therefore removed when merging `main`. - **See:** `_BULLSEYE_SECURITY_SNAPSHOT_SETUP` in `resources_servers/terminal_bench_2_1/app.py:36`. - **Related PR:** [Terminal-Bench NVIDIA-NeMo#82 — repair package installation for the two QEMU tasks](harbor-framework/terminal-bench-2#82) reports expired Debian package indexes and missing downloads preventing grading. Its proposed repair switches to `archive.debian.org` and removes the old security source; the branch's original patch restored the dated snapshot sources recorded in the images, and `main` now uses its own snapshot redirect. This supports the dependency-failure diagnosis. The PR was open when checked. 2. Terminal guidance - **Problem:** Traces showed incorrect special-key formatting and confusion between echoed input and executed commands. - **Result:** The model sometimes proceeded as though commands had executed when they had not. - **Solution:** A short message of general instructions is appended to every task, explaining terminal controls and how to recognize that the shell is ready. Both the 59.41% and 60.34% runs included it. - **Current state:** kept. It was briefly dropped so the recipe's inputs would match vanilla TB2.1 (an earlier 24-attempt diagnostic scored 13/24 passes with and without it, and upstream NVIDIA-NeMo#3983 normalizes standalone control keys in code, which covered the one part that was a harness bug). The full run on the merged code without it (commit `d25578c1d`) then scored 54.60%, against 61.16% with it restored (commit `4c6c990e6`) on otherwise identical code (+6.3 points on the 703 attempts finished in both). That accounts for the whole drop from the pre-merge rerun. The 24-attempt diagnostic was too small to see an effect that is concentrated in a dozen long-running tasks. The cost is that the recipe's task inputs differ from vanilla TB2.1. - **See:** `prepare()` in `benchmarks/terminal_bench_2_1/prepare_inkling_small.py`, and `normalized_rows_sha256` in `benchmarks/terminal_bench_2_1/inkling_small_tasks.json`, which pins the rows with the guidance appended. 3. Ctrl+C recovery (superseded by upstream) - **Problem:** Queued terminal input was reproduced preventing correctly formatted Ctrl+C from taking effect. - **Result:** The requested interrupt failed to restore terminal control in those reproductions. - **Original solution:** Queued input was drained through a separate execution channel after the model requested Ctrl+C, subject to terminal-setting checks. Targeted tests demonstrated recovery from the reproduced condition. A larger comparison showed 43.12% with recovery off against a full-denominator bound of 45.51–45.65% with it on, but the enabled job hit its allocation limit with one attempt missing, so that gain is bounded, not measured. - **Current state:** [NeMo Gym NVIDIA-NeMo#3983 — recover Terminus controls and exited shells](NVIDIA-NeMo#3983), merged October 7, 2026, fixes the same failure upstream. It drains cancelled input until quiet before sending a native Ctrl-C (with a five-second limit), normalizes standalone control keys, and recovers exited shells, automatically for the Terminus agent. The branch's own implementation was removed when merging `main` (`216e8ba5a`). The 60.34% rerun used the branch's implementation, not upstream's. - **See:** `TerminusTmuxSession` in `responses_api_agents/terminus_2_sandboxed_agent/terminal.py` and `NeMoGymTerminus2._execute_commands()` in `responses_api_agents/terminus_2_sandboxed_agent/app.py`. - **Related PR:** [Harbor NVIDIA-NeMo#1005 — bypass queued terminal input for Ctrl+C](harbor-framework/harbor#1005) describes Ctrl+C getting stuck behind earlier input and proposes sending interrupt signals directly to processes. It is evidence of the same reported symptom, not validation of any particular recovery implementation. 4. Noninteractive package installation - **Problem:** Installations stopped at interactive configuration prompts. - **Result:** The package manager remained occupied waiting for input, blocking further installation progress. - **Solution:** Set DEBIAN_FRONTEND=noninteractive so supported package configuration uses defaults. - **Result:** Diagnostic checks supported using this setting to avoid those configuration prompts. - **See:** `sandbox_config.env.DEBIAN_FRONTEND` in `benchmarks/terminal_bench_2_1/inkling_small.yaml:42`. 5. Hide unrelated shared storage - **Problem:** Filesystem searches were reproduced stalling while traversing unrelated shared S3 storage. - **Result:** The search kept the terminal occupied instead of completing. - **Solution:** Give the task terminal a private filesystem view that hides those mounts. - **Result:** The mounts were hidden, and the complete environment workaround improved automatic full-run accuracy from 47.89% → 52.81% (+4.92 percentage points). - **See:** `private_terminal_bootstrap()` in `responses_api_agents/terminus_2_sandboxed_agent/terminal_mounts.py:57` and `terminal_hidden_mounts` in `benchmarks/terminal_bench_2_1/inkling_small.yaml`. Only the Inkling recipe sets it, so other benchmarks and models are unaffected: the agent-level default (`terminal_hidden_mounts: []`) and the shared `benchmarks/nemotron_3.5_super/sandbox_utils.yaml` are unchanged. It needs Linux root, user/mount namespaces and the tmux binary that `sandbox_utils.yaml` configures, which `sbatch_external_vllm.sh` loads automatically; running `gym eval run` without the launcher requires adding `--config benchmarks/nemotron_3.5_super/sandbox_utils.yaml`; without it the mount hiding has no tmux binary and every rollout fails with `Private terminal requires tmux`. - **Verified after merging `main`:** on October 7, 2026, the real agent setup was run with both mounts hidden against a live sandbox. Inside the agent's terminal `/mnt/s3-data` and `/mnt/.s3-gate` were empty (tmpfs mounted over them), while direct sandbox execution, which is what the grader uses, still saw the S3 data and a file the terminal wrote to `/tmp`. Only the agent's own tmux session remained afterward. 6. Grader HTTPS certificates - **Problem:** Grading environments could have the download tools installed without the required trusted-certificate bundle; that condition was reproduced. - **Result:** HTTPS dependency downloads failed before the graders could run their tests. - **Solution:** Explicitly install ca-certificates during setup of the affected graders; the patch applies to everyone's TB2.1 grading. - **Result:** Live checks confirmed that the reproduced setup failures were repaired. - **See:** The two task entries in `TEST_SH_PATCHES` in `resources_servers/terminal_bench_2_1/app.py:127`. - **Safeguard:** these are exact-string patches, so a patch that matches no script now logs a warning naming the task and pattern instead of being skipped without a trace (`_upload_folder` in the same file), and a unit test checks that every configured patch matches the pinned task scripts. It warns instead of failing because the default benchmark clones the task repository unpinned, so a stale patch must not zero a task whose upstream script was fixed. This exposed a pre-existing `mcmc-sampling-stan` patch that targeted `solution/solve.sh` from the `tests/` table and had never applied; it now sits in the golden-patch table, so it only affects reference-solution validation. **Note:** with fixes 1–6 applied, the automatic accuracy was 49.58%. That shows the result with those changes present, not that each change contributed to the gain. Their individual contributions have not been isolated. 7. Preserve earlier reasoning - **Problem:** Captured requests showed that earlier reasoning was omitted while commands and outputs remained. - **Result:** Subsequent requests lacked the model's earlier reasoning text. - **Solution:** Enable the agent's interleaved_thinking setting in the Inkling recipe while keeping the model adapter's existing reasoning support enabled (already its default). - **Result:** Request checks confirmed retention, and the matched full comparison improved automatic accuracy from 49.58% → 58.57% (+8.99 percentage points). - **See:** `interleaved_thinking` in `benchmarks/terminal_bench_2_1/inkling_small.yaml` (the shared agent default in `responses_api_agents/terminus_2_sandboxed_agent/configs/terminus_2_sandboxed_agent.yaml` stays `false`) and `uses_interleaved_reasoning` in `responses_api_models/vllm_model/app.py:170` (already the model default). - **Upstream feature:** [Harbor NVIDIA-NeMo#265 — optional interleaved thinking](harbor-framework/harbor#265), merged December 23, 2025, introduced the option to include earlier reasoning in subsequent model requests. This is the existing capability this PR's configuration enables. - **Gym integration:** [NeMo Gym NVIDIA-NeMo#3540 — wire reasoning history through the Terminus 2 adapter](NVIDIA-NeMo#3540), merged September 18, 2026, added the adapter support and exposed `interleaved_thinking`, initially set to `false`. That code predates this branch; the Inkling recipe turns it on. ## Supporting change: POV-Ray reference-solution downloads - **Problem and solution:** The reference solution's source downloads failed. The download locations were replaced with archived copies, and all three archives are verified with SHA-256 checks. - **Related PR:** [Terminal-Bench NVIDIA-NeMo#77 — archived POV-Ray downloads with SHA-256 verification](harbor-framework/terminal-bench-2#77) documents the original host returning HTTP 403 and supplies the archive URLs and checksums used by this repair. The PR was open when checked. - **Effect on accuracy:** This only repairs validation of the benchmark's supplied reference solution. Ordinary model evaluations use `is_verifying_golden_patch: false`, so this change contributed **no accuracy gain** to those runs. It is separate from the seven evaluation changes above. - **See:** `GOLDEN_PATCH_SOLVE_SH_PATCHES["terminal-bench/build-pov-ray"]` and `TerminalBench21ResourcesServer.verify()` in `resources_servers/terminal_bench_2_1/app.py`. ## Rerun at the pre-merge commit The rerun used commit `173ec922a` on 6 nodes with 4 GPUs each, with a vLLM 0.29.0 image built for other evaluations (see [Reproducing the evaluation](#reproducing-the-evaluation)). 711 of the 712 attempts finished within about 66 minutes. The cluster's scheduler then cancelled the job 77 minutes in, while one attempt (task 42, `train-fasttext`, attempt 5) was still running. The model servers had been nearly idle for roughly 12 minutes beforehand (about zero requests running), which is consistent with an idle-job policy, but the cause is unconfirmed. The launcher did not write its aggregate metrics file, so the numbers below come from the saved results. | | Rerun | Earlier full run | | --- | --- | --- | | Automatic score | **429/711 = 60.34%** | 423/712 = 59.41% | | If the missing attempt is counted | 60.25% (fail) to 60.39% (pass) over 712 | n/a | | Agent attempts completed | 708/711 | 711/712 | | Graders completed | 707/711 | 709/712 | | Results in the failures file | 0 | n/a | ## Validation - **Resources server:** 44 tests pass (`resources_servers/terminal_bench_2_1/tests/`), including `main`'s tests and a guard that every configured patch matches the pinned task scripts. Removing the unmatched-patch warning, or restoring the misplaced patch, makes tests fail. - **Recipe and configuration:** 9 tests pass (`benchmarks/terminal_bench_2_1/tests/test_inkling_small.py`), covering the prepared task inputs and the resolved settings in launcher order. The 84 benchmark-catalog tests (`tests/unit_tests/test_benchmarks.py`) pass with the new `benchmarks/terminal_bench_2_1/inkling_small/manifest.yaml`. - **Agent:** 86 tests pass in the agent's own environment (`gym env test +entrypoint=responses_api_agents/terminus_2_sandboxed_agent`), including `main`'s `test_terminal.py` and the mount tests updated for `main`'s session code. - **Live sandboxes (October 7, 2026, after merging `main`):** the real agent setup with hidden mounts left both S3 mounts empty inside the agent terminal while the grader's view kept the data, and both QEMU task images updated and installed packages successfully without the branch's QEMU patch. - **Local checks:** pre-commit passes on all files. - **Full evaluation:** the reruns above. At the final commit `48cc31a7f`, a full run on the container in the reproduction command scored 58.37% (415/711, one attempt cancelled while running, no failures). Commit `4c6c990e6` (the same code before the last cleanups) scored 58.85% (419/712) on that container and 61.16% (433/708) on another vLLM 0.30.0 image. A baseline run of `origin/main` plus only the recipe files scored 45.22% (322/712). ## Follow-ups Known gaps that this PR does not address: - **`regex-chess` grading loophole:** some attempts pass by swapping Python's regular-expression implementation instead of satisfying the requested regex-based solution. The grader awards the pass. It needs a grader fix and a trace review of the passes in the reruns. ## Reproducing the evaluation The recipe is `benchmarks/terminal_bench_2_1/inkling_small.yaml` (catalog entry `terminal_bench_2_1/inkling_small`, described by `benchmarks/terminal_bench_2_1/inkling_small/manifest.yaml`), launched through `benchmarks/nemotron_3.5_super/sbatch_external_vllm.sh`, which loads the config file directly. Requirements: the Gym virtual environment, a valid OpenSandbox key in `env.yaml`, a vLLM image that includes Gym built from a recent Gym commit, and sandboxes with Linux root, user/mount namespace support and the tmux binary configured in `benchmarks/nemotron_3.5_super/sandbox_utils.yaml`. The launcher mounts the repository checkout as `/opt/Gym`, so do not edit it while the job runs. The command below, with the container shown, was used for full runs of the current code: ```bash ( set -euo pipefail source .venv/bin/activate INKLING_REPO=$(pwd -P) INKLING_RUN_NAME="inkling-small-tb21-$(date -u +%Y%m%dT%H%M%S)-$$" python -m benchmarks.terminal_bench_2_1.prepare_inkling_small mkdir -p "results/$INKLING_RUN_NAME" slurm-logs git rev-parse HEAD > "results/$INKLING_RUN_NAME/gym-commit.txt" unset SBATCH_RESERVATION SBATCH_QOS MODEL_NAME ROLLOUTS_FPATH unset OPENSANDBOX_DOMAIN OPENSANDBOX_API_KEY OPENSANDBOX_PROTOCOL MODEL=/path/to/Inkling-Small-NVFP4 \ VLLM_CONFIG=benchmarks/nemotron_3.5_super/vllm_configs/inkling_small.sh \ EXPERIMENT_NAME="$INKLING_RUN_NAME" \ VLLM_MODE=aggregated \ NUM_NODES=6 \ SEGMENT=6 \ SBATCH_ACCOUNT=<your Slurm account> \ SBATCH_PARTITION=batch_long \ SBATCH_TIMELIMIT=08:00:00 \ SBATCH_GRES=gpu:4 \ CONTAINER=/path/to/evaluation-image.sqsh \ MOUNTS="/lustre:/lustre,$INKLING_REPO:/opt/Gym" \ WANDB_MODE=disabled \ LITELLM_LOCAL_MODEL_COST_MAP=True \ RAY_TMPDIR=/tmp \ bash benchmarks/nemotron_3.5_super/sbatch_external_vllm.sh \ --config benchmarks/terminal_bench_2_1/inkling_small.yaml \ "++model_call_capture_dir=/opt/Gym/results/$INKLING_RUN_NAME/model-calls" \ "++route_failures_to_sidecar=true" ) ``` --------- Signed-off-by: Frankie Siino <fsiino@nvidia.com>

bxyu-nvidia approved these changes Nov 2, 2025

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bxyu-nvidia merged commit 8974205 into main Nov 2, 2025
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bxyu-nvidia deleted the math-dataset-format branch November 2, 2025 23:37

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Update math dataset examples and metrics - #265

Update math dataset examples and metrics#265
bxyu-nvidia merged 1 commit into
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damon-mosk-aoyama-nvidia commented Nov 1, 2025

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damon-mosk-aoyama-nvidia commented Nov 1, 2025

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