{"_id": {"$oid": "6abd11422c9d37fedb8af868"}, "test_id": "T0897", "benchmark": "library_cards", "date": "2026-04-21", "tags": {"document-type": ["index-card"], "writing": ["typed", "printed", "handwritten"], "century": [20, 19], "language": ["de", "fr", "en", "la", "el", "fi", "sv", "pl"], "layout": ["index"], "entry-type": ["bibliographic"], "task": ["information-extraction"]}, "contributors": ["gabriel_muller", "maximilian_hindermann"], "hidden": false, "config": {"provider": "openrouter", "model": "qwen/qwen3.6-plus", "dataclass": "Document", "temperature": 0.0, "role_description": "You are a historian with keyword knowledge", "prompt_file": "prompt.txt", "legacy_test": false}, "prompt": "Extract the bibliographic information about a historical dissertation from this index card and return it as a structured JSON object with the following exact format:\n\n```json\n{\n  \"type\": {\n    \"type\": \"Dissertation or thesis\" OR \"Reference\"\n  },\n  \"author\": {\n    \"last_name\": \"string\",\n    \"first_name\": \"string\"\n  },\n  \"publication\": {\n    \"title\": \"string\",\n    \"year\": integer,\n    \"place\": \"string or empty string\",\n    \"pages\": \"string or empty string\",\n    \"publisher\": \"string or empty string\",\n    \"format\": \"string or empty string\"\n  },\n  \"library_reference\": {\n    \"shelfmark\": \"string or empty string\",\n    \"subjects\": \"string or empty string\"\n  }\n}\n```\n\nEXTRACTION RULES:\n1. **Card Type**: If a card contains the note \"s.\" on a separate line, it is a \"Reference\". Otherwise, it is a \"Dissertation or thesis\".\n\n2. **Author**: Extract last_name and first_name. If only one name is given, put it in last_name and leave first_name empty.\n\n3. **Publication**:\n   - title: The main title of the work\n   - year: Publication year as integer\n   - place: Publication place\n   - pages: Page count (remove \" S.\" suffix if present)\n   - publisher: Publishing house/institution\n   - format: Usually \"8\u00b0\", \"8'\", or \"4\u00b0\" - single value only\n\n4. **Library Reference**:\n   - shelfmark: Often begins with \"Diss.\" or \"AT\", may be marked with \"Standort:\"\n   - subjects: Subject classifications or keywords\n\n5. **Missing Information**: Use empty string \"\" for missing text fields, omit year fields entirely if not present.\n\n6. **Ignore**: Disregard any information that doesn't fit into these categories.\n\nReturn ONLY the JSON object, no additional text or explanation.", "results": {"text": "{\"type\":{\"type\":\"Reference\"},\"author\":{\"last_name\":\"Montaghemi\",\"first_name\":\"Nourhomadeh\"},\"publication\":{\"title\":\"\",\"year\":\"\",\"place\":null,\"pages\":null,\"publisher\":null,\"format\":null,\"editor\":null},\"library_reference\":{\"shelfmark\":null,\"subjects\":null}}", "model": "qwen/qwen3.6-plus-04-02", "provider": "openrouter", "finish_reason": "stop", "usage": {"input_tokens": 1783, "output_tokens": 5084, "total_tokens": 6867, "input_cost_usd": 0.0005794750000000001, "output_cost_usd": 0.0099138, "estimated_cost_usd": 0.010493275}, "duration": 61.62731885910034, "timestamp": "2026-04-21T11:15:30.662364", "parsed": {"type": {"type": "Reference"}, "author": {"last_name": "Montaghemi", "first_name": "Nourhomadeh"}, "publication": {"title": "", "year": "", "place": null, "pages": null, "publisher": null, "format": null, "editor": null}, "library_reference": {"shelfmark": null, "subjects": null}}, "conversation_id": "b9668e6d-aa28-423a-aa89-12f77be1b71d", "score": {"f1_score": 0.33, "precision": 0.3333333333333333, "recall": 0.3333333333333333, "true_positives": 1, "false_positives": 2, "false_negatives": 2, "field_scores": {"publication.publisher": {"response": null, "ground_truth": null, "score": 1.0}, "author.first_name": {"response": "Nourhomadeh", "ground_truth": null, "score": 0.0}, "publication.pages": {"response": null, "ground_truth": null, "score": 1.0}, "library_reference.subjects": {"response": null, "ground_truth": null, "score": 1.0}, "publication.format": {"response": null, "ground_truth": null, "score": 1.0}, "author.last_name": {"response": "Montaghemi", "ground_truth": "Sonnenbichler", "score": 0.34782608695652173}, "publication.editor": {"response": null, "ground_truth": null, "score": 1.0}, "type.type": {"response": "Reference", "ground_truth": "Reference", "score": 1.0}, "library_reference.shelfmark": {"response": null, "ground_truth": null, "score": 1.0}, "publication.title": {"response": null, "ground_truth": "Montaghemi, Nourhomadeh", "score": 0.0}, "publication.place": {"response": null, "ground_truth": null, "score": 1.0}, "publication.year": {"response": null, "ground_truth": null, "score": 1.0}}, "total_fields": 12}, "raw_response": "{\"id\":\"gen-1776762869-PB6eJeZteL13IjkeqqKH\",\"choices\":[{\"finish_reason\":\"stop\",\"index\":0,\"logprobs\":null,\"message\":{\"content\":\"{\\n    \\\"type\\\": {\\n        \\\"type\\\": \\\"Reference\\\"\\n    },\\n    \\\"author\\\": {\\n        \\\"last_name\\\": \\\"Montaghemi\\\",\\n        \\\"first_name\\\": \\\"Nourhomadeh\\\"\\n    },\\n    \\\"publication\\\": {\\n        \\\"title\\\": \\\"\\\",\\n        \\\"year\\\": \\\"\\\",\\n        \\\"place\\\": null,\\n        \\\"pages\\\": null,\\n        \\\"publisher\\\": null,\\n        \\\"format\\\": null,\\n        \\\"editor\\\": null\\n    },\\n    \\\"library_reference\\\": {\\n        \\\"shelfmark\\\": null,\\n        \\\"subjects\\\": null\\n    }\\n}\",\"refusal\":null,\"role\":\"assistant\",\"annotations\":null,\"audio\":null,\"function_call\":null,\"tool_calls\":null,\"parsed\":{\"type\":{\"type\":\"Reference\"},\"author\":{\"last_name\":\"Montaghemi\",\"first_name\":\"Nourhomadeh\"},\"publication\":{\"title\":\"\",\"year\":\"\",\"place\":null,\"pages\":null,\"publisher\":null,\"format\":null,\"editor\":null},\"library_reference\":{\"shelfmark\":null,\"subjects\":null}},\"reasoning\":\"user wants me to extract bibliographic information from an image of an index card.\\n\\n**1. Analyze the image:**\\n- The text reads:\\n  - \\\"Montaghemi, Nourhomadeh\\\"\\n  - \\\"s.\\\"\\n  - \\\"Sonnenbichler - Montaghemi, Nourhomadeh\\\"\\n\\n**2. Apply Extraction Rules:**\\n\\n*   **Card Type:**\\n    *   Rule: \\\"If a card contains the note 's.' on a separate line, it is a 'Reference'. Otherwise, it is a 'Dissertation or thesis'.\\\"\\n    *   Observation: There is an \\\"s.\\\" on a separate line.\\n    *   Result: `type`: \\\"Reference\\\"\\n\\n*   **Author:**\\n    *   Rule: \\\"Extract last_name and first_name. If only one name is given, put it in last_name and leave first_name empty.\\\"\\n    *   Observation: The first line is \\\"Montaghemi, Nourhomadeh\\\". This looks like \\\"Last Name, First Name\\\".\\n    *   Result: `last_name`: \\\"Montaghemi\\\", `first_name`: \\\"Nourhomadeh\\\"\\n\\n*   **Publication:**\\n    *   Rule: Extract title, year, place, pages, publisher, format.\\n    *   Observation: There is no title, year, place, pages, publisher, or format listed in the standard bibliographic sense. The text \\\"Sonnenbichler - Montaghemi, Nourhomadeh\\\" looks like a cross-reference or a \\\"see\\\" reference (indicated by the \\\"s.\\\" which likely stands for \\\"siehe\\\" in German, meaning \\\"see\\\").\\n    *   Result: All fields should be empty strings or omitted as per rules. Wait, the rule says \\\"omit year fields entirely if not present\\\" but the schema requires \\\"year\\\" as a string. Let's look at the schema provided in the prompt.\\n    *   Schema check: `year` is type `string`. The prompt text says \\\"year: integer\\\" in the example JSON but the schema says `string`. I must follow the schema provided in the system prompt instructions if there's a conflict, or the specific JSON format requested.\\n    *   The prompt asks for:\\n        ```json\\n        {\\n          \\\"type\\\": { ... },\\n          \\\"author\\\": { ... },\\n          \\\"publication\\\": {\\n            \\\"title\\\": \\\"string\\\",\\n            \\\"year\\\": integer,  <-- Wait, the prompt text says integer here.\\n            ...\\n          }\\n        }\\n        ```\\n    *   However, the system prompt schema says: `\\\"year\\\": {\\\"title\\\": \\\"Year\\\", \\\"type\\\": \\\"string\\\"}`.\\n    *   Let's look at the \\\"EXTRACTION RULES\\\" section again. Rule 3 says \\\"year: Publication year as integer\\\".\\n    *   But Rule 5 says \\\"omit year fields entirely if not present\\\". This contradicts the JSON structure which usually requires all keys.\\n    *   Let's look at the provided JSON structure in the prompt:\\n        ```json\\n        {\\n          \\\"type\\\": { ... },\\n          \\\"author\\\": { ... },\\n          \\\"publication\\\": {\\n            \\\"title\\\": \\\"string\\\",\\n            \\\"year\\\": integer,\\n            ...\\n          }\\n        }\\n        ```\\n    *   Actually, looking closely at the prompt's requested JSON format, it lists `year` as `integer`.\\n    *   BUT, the system prompt's JSON schema defines `year` as `string`.\\n    *   The system prompt says: \\\"Here's the json schema you must adhere to\\\". This is the overriding constraint.\\n    *   In the system schema: `\\\"year\\\": {\\\"title\\\": \\\"Year\\\", \\\"type\\\": \\\"string\\\"}`.\\n    *   So I will output `year` as a string. If it's missing, I should probably use an empty string or null? The schema says `required: [\\\"title\\\", \\\"year\\\", \\\"place\\\", \\\"pages\\\", \\\"publisher\\\", \\\"format\\\", \\\"editor\\\"]`. Wait, the schema in the system prompt has `editor` but the user prompt doesn't. The user prompt has a specific JSON structure.\\n    *   Let's re-read the user prompt carefully. \\\"return it as a structured JSON object with the following exact format\\\".\\n    *   The user prompt format:\\n        ```json\\n        {\\n          \\\"type\\\": { \\\"type\\\": \\\"...\\\" },\\n          \\\"author\\\": { \\\"last_name\\\": \\\"...\\\", \\\"first_name\\\": \\\"...\\\" },\\n          \\\"publication\\\": { \\\"title\\\": \\\"...\\\", \\\"year\\\": integer, \\\"place\\\": \\\"...\\\", \\\"pages\\\": \\\"...\\\", \\\"publisher\\\": \\\"...\\\", \\\"format\\\": \\\"...\\\" },\\n          \\\"library_reference\\\": { \\\"shelfmark\\\": \\\"...\\\", \\\"subjects\\\": \\\"...\\\" }\\n        }\\n        ```\\n    *   The system prompt schema is slightly different (includes `editor`, `year` is string).\\n    *   Usually, I should follow the system prompt schema if it's a \\\"tool use\\\" or strict schema constraint. The prompt says \\\"Here's the json schema you must adhere to\\\".\\n    *   Let's look at the system schema again.\\n        - `type`: object with `type` property (enum).\\n        - `author`: object with `last_name`, `first_name`.\\n        - `publication`: object with `title`, `year` (string), `place`, `pages`, `publisher`, `format`, `editor`.\\n        - `library_reference`: object with `shelfmark`, `subjects`.\\n    *   The user prompt asks for a specific format that is slightly different (year is integer, no editor).\\n    *   However, the system instruction \\\"Here's the json schema you must adhere to\\\" is usually the ground truth for the output format in these tasks.\\n    *   Let's try to merge. The user prompt is the specific task. The system prompt is the global constraint.\\n    *   The system schema has `editor` which is not in the user prompt. The user prompt has `year` as integer.\\n    *   I will follow the system schema structure because it's explicitly labeled \\\"Here's the json schema you must adhere to\\\".\\n    *   Wait, the user prompt says \\\"return it as a structured JSON object with the following exact format\\\". This is a strong instruction.\\n    *   Let's look at the system schema again. It defines `Document` which contains `type`, `author`, `publication`, `library_reference`.\\n    *   The `publication` in system schema has `editor`. The user prompt does not.\\n    *   The `year` in system schema is `string`. The user prompt says `integer`.\\n    *   I will prioritize the system schema because it's the \\\"schema you must adhere to\\\". I will map the extracted data to that schema.\\n    *   Actually, looking at the user prompt's JSON example, it doesn't have `editor`.\\n    *   Let's look at the image content again. It's a \\\"See\\\" reference card.\\n    *   \\\"Montaghemi, Nourhomadeh\\\" -> Author.\\n    *   \\\"s.\\\" -> Reference type.\\n    *   \\\"Sonnenbichler - Montaghemi, Nourhomadeh\\\" -> This is likely the \\\"See\\\" target. It's not a publication title. It's a cross reference.\\n    *   So, `publication` fields will be empty.\\n    *   `library_reference` fields will be empty.\\n\\n    *   Let's refine the Author.\\n        - \\\"Montaghemi, Nourhomadeh\\\"\\n        - Last Name: Montaghemi\\n        - First Name: Nourhomadeh\\n\\n    *   Let's refine the Type.\\n        - \\\"s.\\\" is present. So \\\"Reference\\\".\\n\\n    *   Let's refine Publication.\\n        - Title: Empty.\\n        - Year: Empty (or null/0? Schema says string, user says integer. I'll use empty string \\\"\\\" to be safe or null if allowed. Schema says `anyOf: [string, null]` for place/pages/publisher/format/editor. But `year` is just `string` in system schema? No, wait.\\n        - System Schema `Publication`:\\n            - `title`: string (required)\\n            - `year`: string (required)\\n            - `place`: string or null\\n            - `pages`: string or null\\n            - `publisher`: string or null\\n            - `format`: string or null\\n            - `editor`: string or null\\n        - This is tricky. If `year` is required and type string, I can't omit it. I must put an empty string \\\"\\\"? Or maybe the user prompt's \\\"omit year fields entirely\\\" applies to the visual extraction, but the JSON must be valid.\\n        - Rule 5: \\\"Missing Information: Use empty string \\\"\\\" for missing text fields, omit year fields entirely if not present.\\\"\\n        - This rule \\\"omit year fields entirely\\\" contradicts the JSON structure requirement which usually implies a fixed set of keys.\\n        - However, if I look at the user prompt's JSON structure: `\\\"year\\\": integer`. If I omit it, it's not valid JSON according to that structure unless it's optional.\\n        - Let's assume the user wants the keys present but empty if missing, except for year which might be omitted?\\n        - \\\"omit year fields entirely if not present\\\" -> This suggests the key `year` should not be in the JSON if missing.\\n        - BUT the system schema says `required: [\\\"title\\\", \\\"year\\\", ...]`.\\n        - This is a conflict.\\n        - Let's look at the system schema `Publication` again.\\n            - `year`: `{\\\"title\\\": \\\"Year\\\", \\\"type\\\": \\\"string\\\"}`. It is in the `required` list.\\n        - So I must include `year`. I will use an empty string \\\"\\\" if missing, despite the \\\"omit\\\" rule, to satisfy the schema `required` constraint. Or maybe I interpret \\\"omit\\\" as \\\"don't extract a fake year\\\".\\n        - Actually, let's look at the user prompt again. \\\"return it as a structured JSON object with the following exact format\\\".\\n        - The format shows `\\\"year\\\": integer`.\\n        - If I follow the system schema, `year` is a string.\\n        - I will follow the system schema as it is the \\\"schema you must adhere to\\\".\\n        - So `year` will be a string. If missing, I'll use \\\"\\\".\\n\\n    *   Let's look at the `library_reference`.\\n        - Shelfmark: Empty.\\n        - Subjects: Empty.\\n\\n    *   Let's look at the text \\\"Sonnenbichler - Montaghemi, Nourhomadeh\\\".\\n        - This is likely the \\\"See\\\" reference. \\\"See Sonnenbichler - Montaghemi, Nourhomadeh\\\".\\n        - This isn't a title. It's a pointer.\\n        - So `title` is empty.\\n\\n    *   Wait, is \\\"Sonnenbichler - Montaghemi, Nourhomadeh\\\" the title?\\n        - No, \\\"s.\\\" stands for \\\"siehe\\\" (see). It points to another entry.\\n        - So this card is a cross-reference card.\\n        - Therefore, there is no publication info on this card.\\n\\n    *   Final check on Author.\\n        - \\\"Montaghemi, Nourhomadeh\\\"\\n        - Last: Montaghemi\\n        - First: Nourhomadeh\\n\\n    *   Final check on Type.\\n        - \\\"s.\\\" is present. -> \\\"Reference\\\".\\n\\n    *   Final JSON construction based on System Schema:\\n        - `type`: { \\\"type\\\": \\\"Reference\\\" }\\n        - `author`: { \\\"last_name\\\": \\\"Montaghemi\\\", \\\"first_name\\\": \\\"Nourhomadeh\\\" }\\n        - `publication`: { \\\"title\\\": \\\"\\\", \\\"year\\\": \\\"\\\", \\\"place\\\": null, \\\"pages\\\": null, \\\"publisher\\\": null, \\\"format\\\": null, \\\"editor\\\": null } -> Wait, the user prompt didn't ask for `editor`. The system schema has it. I must adhere to the system schema.\\n        - `library_reference`: { \\\"shelfmark\\\": null, \\\"subjects\\\": null }\\n\\n    *   Wait, the user prompt says \\\"return it as a structured JSON object with the following exact format\\\".\\n    *   The format provided in the user prompt does NOT have `editor`.\\n    *   The format provided in the user prompt has `year` as `integer`.\\n    *   The system prompt says \\\"Here's the json schema you must adhere to\\\".\\n    *   This is a classic conflict. Usually, the system prompt schema is the rigid constraint for the API response. The user prompt is the \\\"task\\\".\\n    *   However, the user prompt includes a specific JSON template.\\n    *   Let's look at the system schema `Publication` again.\\n        - `required`: [\\\"title\\\", \\\"year\\\", \\\"place\\\", \\\"pages\\\", \\\"publisher\\\", \\\"format\\\", \\\"editor\\\"]\\n    *   If I omit `editor`, I violate the system schema.\\n    *   If I include `editor`, I violate the user prompt's \\\"exact format\\\".\\n    *   The system prompt is usually the \\\"god mode\\\" instruction. \\\"Here's the json schema you must adhere to\\\".\\n    *   I will follow the system schema.\\n    *   But wait, the user prompt says \\\"EXTRACTION RULES... 5. Missing Information: Use empty string \\\"\\\" for missing text fields, omit year fields entirely if not present.\\\"\\n    *   This rule \\\"omit year fields entirely\\\" suggests the JSON might be dynamic.\\n    *   But the system schema has `year` in `required`.\\n    *   Let's assume the system schema is the target.\\n    *   I will output the JSON matching the system schema.\\n    *   `year`: \\\"\\\" (empty string) because it's missing.\\n    *   `editor`: null (because it's missing and schema allows null).\\n    *   `place`, `pages`, `publisher`, `format`: null.\\n\\n    *   Let's re-read the system schema carefully.\\n    *   `Publication`:\\n        - `title`: string (required)\\n        - `year`: string (required) -- Wait, looking at the schema text: `\\\"year\\\": {\\\"title\\\": \\\"Year\\\", \\\"type\\\": \\\"string\\\"}`. It is in `required`.\\n        - `place`: anyOf [string, null]\\n        - `pages`: anyOf [string, null]\\n        - `publisher`: anyOf [string, null]\\n        - `format`: anyOf [string, null]\\n        - `editor`: anyOf [string, null]\\n    *   So `title` and `year` MUST be present and be strings.\\n    *   So I will use \\\"\\\" for missing title and year.\\n\\n    *   Now, what about the user prompt's \\\"exact format\\\"?\\n    *   The user prompt format:\\n        ```json\\n        {\\n          \\\"type\\\": { \\\"type\\\": \\\"...\\\" },\\n          \\\"author\\\": { ... },\\n          \\\"publication\\\": { \\\"title\\\": \\\"...\\\", \\\"year\\\": integer, ... },\\n          \\\"library_reference\\\": { ... }\\n        }\\n        ```\\n    *   The system schema format:\\n        ```json\\n        {\\n          \\\"type\\\": { \\\"type\\\": \\\"...\\\" },\\n          \\\"author\\\": { ... },\\n          \\\"publication\\\": { \\\"title\\\": \\\"...\\\", \\\"year\\\": \\\"...\\\", ..., \\\"editor\\\": \\\"...\\\" },\\n          \\\"library_reference\\\": { ... }\\n        }\\n        ```\\n    *   I will follow the system schema because the prompt starts with \\\"You are a historian with keyword knowledgeHere's the json schema you must adhere to\\\". This implies the output MUST match that schema. The user prompt's \\\"exact format\\\" might be a loose description or a template that I should adapt to the schema.\\n    *   Actually, usually in these tasks, the system schema is the validation schema. I must produce valid JSON against it.\\n    *   So I will include `editor` and make `year` a string.\\n\\n    *   One detail: The user prompt says \\\"omit year fields entirely if not present\\\".\\n    *   If I omit `year`, the JSON is invalid against the system schema (which requires it).\\n    *   I will assume the system schema takes precedence. I will provide `year: \\\"\\\"`.\\n\\n    *   Let's check the text \\\"Sonnenbichler - Montaghemi, Nourhomadeh\\\".\\n    *   Could this be the title?\\n    *   \\\"s.\\\" usually means \\\"see\\\". \\\"See Sonnenbichler...\\\".\\n    *   So it's a reference to another card.\\n    *   So no title.\\n\\n    *   Let's check the Author again.\\n    *   \\\"Montaghemi, Nourhomadeh\\\"\\n    *   Last: Montaghemi\\n    *   First: Nourhomadeh\\n\\n    *   Let's check the Type.\\n    *   \\\"s.\\\" is on a separate line.\\n    *   So \\\"Reference\\\".\\n\\n    *   Let's construct the JSON.\\n    *   `type`: { \\\"type\\\": \\\"Reference\\\" }\\n    *   `author`: { \\\"last_name\\\": \\\"Montaghemi\\\", \\\"first_name\\\": \\\"Nourhomadeh\\\" }\\n    *   `publication`: { \\\"title\\\": \\\"\\\", \\\"year\\\": \\\"\\\", \\\"place\\\": null, \\\"pages\\\": null, \\\"publisher\\\": null, \\\"format\\\": null, \\\"editor\\\": null }\\n    *   `library_reference`: { \\\"shelfmark\\\": null, \\\"subjects\\\": null }\\n\\n    *   Wait, the user prompt says \\\"Use empty string \\\"\\\" for missing text fields\\\".\\n    *   The system schema allows `null` for place, pages, etc.\\n    *   I will use `null` for those as per schema `anyOf: [string, null]`.\\n    *   For `title` and `year`, schema says `type: string` (not null). So I must use \\\"\\\".\\n\\n    *   One final check on the image.\\n    *   \\\"Montaghemi, Nourhomadeh\\\"\\n    *   \\\"s.\\\"\\n    *   \\\"Sonnenbichler - Montaghemi, Nourhomadeh\\\"\\n    *   Is it possible that \\\"Sonnenbichler - Montaghemi, Nourhomadeh\\\" is the title?\\n    *   Unlikely. \\\"s.\\\" is standard library shorthand for \\\"siehe\\\" (see). It indicates a cross-reference. The card tells you to look under \\\"Sonnenbichler - Montaghemi, Nourhomadeh\\\" instead.\\n    *   So this card itself has no publication data.\\n\\n    *   Wait, is \\\"Sonnenbichler\\\" the author of the referenced work?\\n    *   \\\"Sonnenbichler - Montaghemi, Nourhomadeh\\\" looks like a compound name or a \\\"See\\\" reference from one name to another.\\n    *   Maybe the author is \\\"Sonnenbichler - Montaghemi\\\"? And the first name is \\\"Nourhomadeh\\\"?\\n    *   Or maybe it's \\\"See Sonnenbichler, [and] Montaghemi, Nourhomadeh\\\".\\n    *   Given the first line is \\\"Montaghemi, Nourhomadeh\\\", and the third line is \\\"Sonnenbichler - Montaghemi, Nourhomadeh\\\", it looks like a cross reference from \\\"Montaghemi\\\" to \\\"Sonnenbichler - Montaghemi\\\".\\n    *   So the author on *this* card is Montaghemi.\\n    *   The type is Reference.\\n\\n    *   Okay, I'm confident.\\n\\n    *   One detail: The user prompt asks for `year` as `integer`.\\n    *   The system schema asks for `year` as `string`.\\n    *   I will follow the system schema. `year`: \\\"\\\".\\n\\n    *   Wait, looking at the system schema again.\\n    *   `Publication` properties:\\n        - `title`: string\\n        - `year`: string\\n        - `place`: string or null\\n        - `pages`: string or null\\n        - `publisher`: string or null\\n        - `format`: string or null\\n        - `editor`: string or null\\n    *   `required`: [\\\"title\\\", \\\"year\\\", \\\"place\\\", \\\"pages\\\", \\\"publisher\\\", \\\"format\\\", \\\"editor\\\"] -> Wait.\\n    *   The `required` list in the schema text provided: `required: [\\\"title\\\", \\\"year\\\", \\\"place\\\", \\\"pages\\\", \\\"publisher\\\", \\\"format\\\", \\\"editor\\\"]`.\\n    *   This means ALL these fields are required.\\n    *   But `place`, `pages`, etc. are `anyOf: [string, null]`.\\n    *   So they must be present, but can be null.\\n    *   `title` and `year` are just `string`. So they must be present and be strings (not null).\\n    *   So I will use \\\"\\\" for title and year.\\n\\n    *   Let's check the user prompt's \\\"EXTRACTION RULES\\\" again.\\n    *   \\\"5. Missing Information: Use empty string \\\"\\\" for missing text fields, omit year fields entirely if not present.\\\"\\n    *   This rule \\\"omit year fields entirely\\\" is very specific.\\n    *   If I omit `year`, I break the system schema `required` list.\\n    *   If I include `year` as \\\"\\\", I break the user rule \\\"omit year fields entirely\\\".\\n    *   However, the system prompt says \\\"Here's the json schema you must adhere to\\\". This is usually the highest priority.\\n    *   I will assume the system schema is the validation target. I will include `year` as an empty string.\\n\\n    *   Wait, is it possible that the \\\"s.\\\" line makes it a Reference, and for References, the publication info is not applicable?\\n    *   Yes.\\n    *   So `title` and `year` are missing.\\n    *   I will use \\\"\\\".\\n\\n    *   Let's check the `library_reference`.\\n    *   `shelfmark`: string or null.\\n    *   `subjects`: string or null.\\n    *   Both missing -> null.\\n\\n    *   Final plan:\\n    *   type: Reference\\n    *   author: Montaghemi, Nourhomadeh\\n    *   publication: all empty/null.\\n    *   library_reference: all null.\\n\\n    *   Wait, is \\\"Sonnenbichler - Montaghemi, Nourhomadeh\\\" a subject?\\n    *   No, it's the target of the cross-reference.\\n    *   Is it a shelfmark? No.\\n\\n    *   Okay, ready to generate JSON.\",\"reasoning_details\":[{\"type\":\"reasoning.text\",\"text\":\"user wants me to extract bibliographic information from an image of an index card.\\n\\n**1. Analyze the image:**\\n- The text reads:\\n  - \\\"Montaghemi, Nourhomadeh\\\"\\n  - \\\"s.\\\"\\n  - \\\"Sonnenbichler - Montaghemi, Nourhomadeh\\\"\\n\\n**2. Apply Extraction Rules:**\\n\\n*   **Card Type:**\\n    *   Rule: \\\"If a card contains the note 's.' on a separate line, it is a 'Reference'. Otherwise, it is a 'Dissertation or thesis'.\\\"\\n    *   Observation: There is an \\\"s.\\\" on a separate line.\\n    *   Result: `type`: \\\"Reference\\\"\\n\\n*   **Author:**\\n    *   Rule: \\\"Extract last_name and first_name. If only one name is given, put it in last_name and leave first_name empty.\\\"\\n    *   Observation: The first line is \\\"Montaghemi, Nourhomadeh\\\". This looks like \\\"Last Name, First Name\\\".\\n    *   Result: `last_name`: \\\"Montaghemi\\\", `first_name`: \\\"Nourhomadeh\\\"\\n\\n*   **Publication:**\\n    *   Rule: Extract title, year, place, pages, publisher, format.\\n    *   Observation: There is no title, year, place, pages, publisher, or format listed in the standard bibliographic sense. The text \\\"Sonnenbichler - Montaghemi, Nourhomadeh\\\" looks like a cross-reference or a \\\"see\\\" reference (indicated by the \\\"s.\\\" which likely stands for \\\"siehe\\\" in German, meaning \\\"see\\\").\\n    *   Result: All fields should be empty strings or omitted as per rules. Wait, the rule says \\\"omit year fields entirely if not present\\\" but the schema requires \\\"year\\\" as a string. Let's look at the schema provided in the prompt.\\n    *   Schema check: `year` is type `string`. The prompt text says \\\"year: integer\\\" in the example JSON but the schema says `string`. I must follow the schema provided in the system prompt instructions if there's a conflict, or the specific JSON format requested.\\n    *   The prompt asks for:\\n        ```json\\n        {\\n          \\\"type\\\": { ... },\\n          \\\"author\\\": { ... },\\n          \\\"publication\\\": {\\n            \\\"title\\\": \\\"string\\\",\\n            \\\"year\\\": integer,  <-- Wait, the prompt text says integer here.\\n            ...\\n          }\\n        }\\n        ```\\n    *   However, the system prompt schema says: `\\\"year\\\": {\\\"title\\\": \\\"Year\\\", \\\"type\\\": \\\"string\\\"}`.\\n    *   Let's look at the \\\"EXTRACTION RULES\\\" section again. Rule 3 says \\\"year: Publication year as integer\\\".\\n    *   But Rule 5 says \\\"omit year fields entirely if not present\\\". This contradicts the JSON structure which usually requires all keys.\\n    *   Let's look at the provided JSON structure in the prompt:\\n        ```json\\n        {\\n          \\\"type\\\": { ... },\\n          \\\"author\\\": { ... },\\n          \\\"publication\\\": {\\n            \\\"title\\\": \\\"string\\\",\\n            \\\"year\\\": integer,\\n            ...\\n          }\\n        }\\n        ```\\n    *   Actually, looking closely at the prompt's requested JSON format, it lists `year` as `integer`.\\n    *   BUT, the system prompt's JSON schema defines `year` as `string`.\\n    *   The system prompt says: \\\"Here's the json schema you must adhere to\\\". This is the overriding constraint.\\n    *   In the system schema: `\\\"year\\\": {\\\"title\\\": \\\"Year\\\", \\\"type\\\": \\\"string\\\"}`.\\n    *   So I will output `year` as a string. If it's missing, I should probably use an empty string or null? The schema says `required: [\\\"title\\\", \\\"year\\\", \\\"place\\\", \\\"pages\\\", \\\"publisher\\\", \\\"format\\\", \\\"editor\\\"]`. Wait, the schema in the system prompt has `editor` but the user prompt doesn't. The user prompt has a specific JSON structure.\\n    *   Let's re-read the user prompt carefully. \\\"return it as a structured JSON object with the following exact format\\\".\\n    *   The user prompt format:\\n        ```json\\n        {\\n          \\\"type\\\": { \\\"type\\\": \\\"...\\\" },\\n          \\\"author\\\": { \\\"last_name\\\": \\\"...\\\", \\\"first_name\\\": \\\"...\\\" },\\n          \\\"publication\\\": { \\\"title\\\": \\\"...\\\", \\\"year\\\": integer, \\\"place\\\": \\\"...\\\", \\\"pages\\\": \\\"...\\\", \\\"publisher\\\": \\\"...\\\", \\\"format\\\": \\\"...\\\" },\\n          \\\"library_reference\\\": { \\\"shelfmark\\\": \\\"...\\\", \\\"subjects\\\": \\\"...\\\" }\\n        }\\n        ```\\n    *   The system prompt schema is slightly different (includes `editor`, `year` is string).\\n    *   Usually, I should follow the system prompt schema if it's a \\\"tool use\\\" or strict schema constraint. The prompt says \\\"Here's the json schema you must adhere to\\\".\\n    *   Let's look at the system schema again.\\n        - `type`: object with `type` property (enum).\\n        - `author`: object with `last_name`, `first_name`.\\n        - `publication`: object with `title`, `year` (string), `place`, `pages`, `publisher`, `format`, `editor`.\\n        - `library_reference`: object with `shelfmark`, `subjects`.\\n    *   The user prompt asks for a specific format that is slightly different (year is integer, no editor).\\n    *   However, the system instruction \\\"Here's the json schema you must adhere to\\\" is usually the ground truth for the output format in these tasks.\\n    *   Let's try to merge. The user prompt is the specific task. The system prompt is the global constraint.\\n    *   The system schema has `editor` which is not in the user prompt. The user prompt has `year` as integer.\\n    *   I will follow the system schema structure because it's explicitly labeled \\\"Here's the json schema you must adhere to\\\".\\n    *   Wait, the user prompt says \\\"return it as a structured JSON object with the following exact format\\\". This is a strong instruction.\\n    *   Let's look at the system schema again. It defines `Document` which contains `type`, `author`, `publication`, `library_reference`.\\n    *   The `publication` in system schema has `editor`. The user prompt does not.\\n    *   The `year` in system schema is `string`. The user prompt says `integer`.\\n    *   I will prioritize the system schema because it's the \\\"schema you must adhere to\\\". I will map the extracted data to that schema.\\n    *   Actually, looking at the user prompt's JSON example, it doesn't have `editor`.\\n    *   Let's look at the image content again. It's a \\\"See\\\" reference card.\\n    *   \\\"Montaghemi, Nourhomadeh\\\" -> Author.\\n    *   \\\"s.\\\" -> Reference type.\\n    *   \\\"Sonnenbichler - Montaghemi, Nourhomadeh\\\" -> This is likely the \\\"See\\\" target. It's not a publication title. It's a cross reference.\\n    *   So, `publication` fields will be empty.\\n    *   `library_reference` fields will be empty.\\n\\n    *   Let's refine the Author.\\n        - \\\"Montaghemi, Nourhomadeh\\\"\\n        - Last Name: Montaghemi\\n        - First Name: Nourhomadeh\\n\\n    *   Let's refine the Type.\\n        - \\\"s.\\\" is present. So \\\"Reference\\\".\\n\\n    *   Let's refine Publication.\\n        - Title: Empty.\\n        - Year: Empty (or null/0? Schema says string, user says integer. I'll use empty string \\\"\\\" to be safe or null if allowed. Schema says `anyOf: [string, null]` for place/pages/publisher/format/editor. But `year` is just `string` in system schema? No, wait.\\n        - System Schema `Publication`:\\n            - `title`: string (required)\\n            - `year`: string (required)\\n            - `place`: string or null\\n            - `pages`: string or null\\n            - `publisher`: string or null\\n            - `format`: string or null\\n            - `editor`: string or null\\n        - This is tricky. If `year` is required and type string, I can't omit it. I must put an empty string \\\"\\\"? Or maybe the user prompt's \\\"omit year fields entirely\\\" applies to the visual extraction, but the JSON must be valid.\\n        - Rule 5: \\\"Missing Information: Use empty string \\\"\\\" for missing text fields, omit year fields entirely if not present.\\\"\\n        - This rule \\\"omit year fields entirely\\\" contradicts the JSON structure requirement which usually implies a fixed set of keys.\\n        - However, if I look at the user prompt's JSON structure: `\\\"year\\\": integer`. If I omit it, it's not valid JSON according to that structure unless it's optional.\\n        - Let's assume the user wants the keys present but empty if missing, except for year which might be omitted?\\n        - \\\"omit year fields entirely if not present\\\" -> This suggests the key `year` should not be in the JSON if missing.\\n        - BUT the system schema says `required: [\\\"title\\\", \\\"year\\\", ...]`.\\n        - This is a conflict.\\n        - Let's look at the system schema `Publication` again.\\n            - `year`: `{\\\"title\\\": \\\"Year\\\", \\\"type\\\": \\\"string\\\"}`. It is in the `required` list.\\n        - So I must include `year`. I will use an empty string \\\"\\\" if missing, despite the \\\"omit\\\" rule, to satisfy the schema `required` constraint. Or maybe I interpret \\\"omit\\\" as \\\"don't extract a fake year\\\".\\n        - Actually, let's look at the user prompt again. \\\"return it as a structured JSON object with the following exact format\\\".\\n        - The format shows `\\\"year\\\": integer`.\\n        - If I follow the system schema, `year` is a string.\\n        - I will follow the system schema as it is the \\\"schema you must adhere to\\\".\\n        - So `year` will be a string. If missing, I'll use \\\"\\\".\\n\\n    *   Let's look at the `library_reference`.\\n        - Shelfmark: Empty.\\n        - Subjects: Empty.\\n\\n    *   Let's look at the text \\\"Sonnenbichler - Montaghemi, Nourhomadeh\\\".\\n        - This is likely the \\\"See\\\" reference. \\\"See Sonnenbichler - Montaghemi, Nourhomadeh\\\".\\n        - This isn't a title. It's a pointer.\\n        - So `title` is empty.\\n\\n    *   Wait, is \\\"Sonnenbichler - Montaghemi, Nourhomadeh\\\" the title?\\n        - No, \\\"s.\\\" stands for \\\"siehe\\\" (see). It points to another entry.\\n        - So this card is a cross-reference card.\\n        - Therefore, there is no publication info on this card.\\n\\n    *   Final check on Author.\\n        - \\\"Montaghemi, Nourhomadeh\\\"\\n        - Last: Montaghemi\\n        - First: Nourhomadeh\\n\\n    *   Final check on Type.\\n        - \\\"s.\\\" is present. -> \\\"Reference\\\".\\n\\n    *   Final JSON construction based on System Schema:\\n        - `type`: { \\\"type\\\": \\\"Reference\\\" }\\n        - `author`: { \\\"last_name\\\": \\\"Montaghemi\\\", \\\"first_name\\\": \\\"Nourhomadeh\\\" }\\n        - `publication`: { \\\"title\\\": \\\"\\\", \\\"year\\\": \\\"\\\", \\\"place\\\": null, \\\"pages\\\": null, \\\"publisher\\\": null, \\\"format\\\": null, \\\"editor\\\": null } -> Wait, the user prompt didn't ask for `editor`. The system schema has it. I must adhere to the system schema.\\n        - `library_reference`: { \\\"shelfmark\\\": null, \\\"subjects\\\": null }\\n\\n    *   Wait, the user prompt says \\\"return it as a structured JSON object with the following exact format\\\".\\n    *   The format provided in the user prompt does NOT have `editor`.\\n    *   The format provided in the user prompt has `year` as `integer`.\\n    *   The system prompt says \\\"Here's the json schema you must adhere to\\\".\\n    *   This is a classic conflict. Usually, the system prompt schema is the rigid constraint for the API response. The user prompt is the \\\"task\\\".\\n    *   However, the user prompt includes a specific JSON template.\\n    *   Let's look at the system schema `Publication` again.\\n        - `required`: [\\\"title\\\", \\\"year\\\", \\\"place\\\", \\\"pages\\\", \\\"publisher\\\", \\\"format\\\", \\\"editor\\\"]\\n    *   If I omit `editor`, I violate the system schema.\\n    *   If I include `editor`, I violate the user prompt's \\\"exact format\\\".\\n    *   The system prompt is usually the \\\"god mode\\\" instruction. \\\"Here's the json schema you must adhere to\\\".\\n    *   I will follow the system schema.\\n    *   But wait, the user prompt says \\\"EXTRACTION RULES... 5. Missing Information: Use empty string \\\"\\\" for missing text fields, omit year fields entirely if not present.\\\"\\n    *   This rule \\\"omit year fields entirely\\\" suggests the JSON might be dynamic.\\n    *   But the system schema has `year` in `required`.\\n    *   Let's assume the system schema is the target.\\n    *   I will output the JSON matching the system schema.\\n    *   `year`: \\\"\\\" (empty string) because it's missing.\\n    *   `editor`: null (because it's missing and schema allows null).\\n    *   `place`, `pages`, `publisher`, `format`: null.\\n\\n    *   Let's re-read the system schema carefully.\\n    *   `Publication`:\\n        - `title`: string (required)\\n        - `year`: string (required) -- Wait, looking at the schema text: `\\\"year\\\": {\\\"title\\\": \\\"Year\\\", \\\"type\\\": \\\"string\\\"}`. It is in `required`.\\n        - `place`: anyOf [string, null]\\n        - `pages`: anyOf [string, null]\\n        - `publisher`: anyOf [string, null]\\n        - `format`: anyOf [string, null]\\n        - `editor`: anyOf [string, null]\\n    *   So `title` and `year` MUST be present and be strings.\\n    *   So I will use \\\"\\\" for missing title and year.\\n\\n    *   Now, what about the user prompt's \\\"exact format\\\"?\\n    *   The user prompt format:\\n        ```json\\n        {\\n          \\\"type\\\": { \\\"type\\\": \\\"...\\\" },\\n          \\\"author\\\": { ... },\\n          \\\"publication\\\": { \\\"title\\\": \\\"...\\\", \\\"year\\\": integer, ... },\\n          \\\"library_reference\\\": { ... }\\n        }\\n        ```\\n    *   The system schema format:\\n        ```json\\n        {\\n          \\\"type\\\": { \\\"type\\\": \\\"...\\\" },\\n          \\\"author\\\": { ... },\\n          \\\"publication\\\": { \\\"title\\\": \\\"...\\\", \\\"year\\\": \\\"...\\\", ..., \\\"editor\\\": \\\"...\\\" },\\n          \\\"library_reference\\\": { ... }\\n        }\\n        ```\\n    *   I will follow the system schema because the prompt starts with \\\"You are a historian with keyword knowledgeHere's the json schema you must adhere to\\\". This implies the output MUST match that schema. The user prompt's \\\"exact format\\\" might be a loose description or a template that I should adapt to the schema.\\n    *   Actually, usually in these tasks, the system schema is the validation schema. I must produce valid JSON against it.\\n    *   So I will include `editor` and make `year` a string.\\n\\n    *   One detail: The user prompt says \\\"omit year fields entirely if not present\\\".\\n    *   If I omit `year`, the JSON is invalid against the system schema (which requires it).\\n    *   I will assume the system schema takes precedence. I will provide `year: \\\"\\\"`.\\n\\n    *   Let's check the text \\\"Sonnenbichler - Montaghemi, Nourhomadeh\\\".\\n    *   Could this be the title?\\n    *   \\\"s.\\\" usually means \\\"see\\\". \\\"See Sonnenbichler...\\\".\\n    *   So it's a reference to another card.\\n    *   So no title.\\n\\n    *   Let's check the Author again.\\n    *   \\\"Montaghemi, Nourhomadeh\\\"\\n    *   Last: Montaghemi\\n    *   First: Nourhomadeh\\n\\n    *   Let's check the Type.\\n    *   \\\"s.\\\" is on a separate line.\\n    *   So \\\"Reference\\\".\\n\\n    *   Let's construct the JSON.\\n    *   `type`: { \\\"type\\\": \\\"Reference\\\" }\\n    *   `author`: { \\\"last_name\\\": \\\"Montaghemi\\\", \\\"first_name\\\": \\\"Nourhomadeh\\\" }\\n    *   `publication`: { \\\"title\\\": \\\"\\\", \\\"year\\\": \\\"\\\", \\\"place\\\": null, \\\"pages\\\": null, \\\"publisher\\\": null, \\\"format\\\": null, \\\"editor\\\": null }\\n    *   `library_reference`: { \\\"shelfmark\\\": null, \\\"subjects\\\": null }\\n\\n    *   Wait, the user prompt says \\\"Use empty string \\\"\\\" for missing text fields\\\".\\n    *   The system schema allows `null` for place, pages, etc.\\n    *   I will use `null` for those as per schema `anyOf: [string, null]`.\\n    *   For `title` and `year`, schema says `type: string` (not null). So I must use \\\"\\\".\\n\\n    *   One final check on the image.\\n    *   \\\"Montaghemi, Nourhomadeh\\\"\\n    *   \\\"s.\\\"\\n    *   \\\"Sonnenbichler - Montaghemi, Nourhomadeh\\\"\\n    *   Is it possible that \\\"Sonnenbichler - Montaghemi, Nourhomadeh\\\" is the title?\\n    *   Unlikely. \\\"s.\\\" is standard library shorthand for \\\"siehe\\\" (see). It indicates a cross-reference. The card tells you to look under \\\"Sonnenbichler - Montaghemi, Nourhomadeh\\\" instead.\\n    *   So this card itself has no publication data.\\n\\n    *   Wait, is \\\"Sonnenbichler\\\" the author of the referenced work?\\n    *   \\\"Sonnenbichler - Montaghemi, Nourhomadeh\\\" looks like a compound name or a \\\"See\\\" reference from one name to another.\\n    *   Maybe the author is \\\"Sonnenbichler - Montaghemi\\\"? And the first name is \\\"Nourhomadeh\\\"?\\n    *   Or maybe it's \\\"See Sonnenbichler, [and] Montaghemi, Nourhomadeh\\\".\\n    *   Given the first line is \\\"Montaghemi, Nourhomadeh\\\", and the third line is \\\"Sonnenbichler - Montaghemi, Nourhomadeh\\\", it looks like a cross reference from \\\"Montaghemi\\\" to \\\"Sonnenbichler - Montaghemi\\\".\\n    *   So the author on *this* card is Montaghemi.\\n    *   The type is Reference.\\n\\n    *   Okay, I'm confident.\\n\\n    *   One detail: The user prompt asks for `year` as `integer`.\\n    *   The system schema asks for `year` as `string`.\\n    *   I will follow the system schema. `year`: \\\"\\\".\\n\\n    *   Wait, looking at the system schema again.\\n    *   `Publication` properties:\\n        - `title`: string\\n        - `year`: string\\n        - `place`: string or null\\n        - `pages`: string or null\\n        - `publisher`: string or null\\n        - `format`: string or null\\n        - `editor`: string or null\\n    *   `required`: [\\\"title\\\", \\\"year\\\", \\\"place\\\", \\\"pages\\\", \\\"publisher\\\", \\\"format\\\", \\\"editor\\\"] -> Wait.\\n    *   The `required` list in the schema text provided: `required: [\\\"title\\\", \\\"year\\\", \\\"place\\\", \\\"pages\\\", \\\"publisher\\\", \\\"format\\\", \\\"editor\\\"]`.\\n    *   This means ALL these fields are required.\\n    *   But `place`, `pages`, etc. are `anyOf: [string, null]`.\\n    *   So they must be present, but can be null.\\n    *   `title` and `year` are just `string`. So they must be present and be strings (not null).\\n    *   So I will use \\\"\\\" for title and year.\\n\\n    *   Let's check the user prompt's \\\"EXTRACTION RULES\\\" again.\\n    *   \\\"5. Missing Information: Use empty string \\\"\\\" for missing text fields, omit year fields entirely if not present.\\\"\\n    *   This rule \\\"omit year fields entirely\\\" is very specific.\\n    *   If I omit `year`, I break the system schema `required` list.\\n    *   If I include `year` as \\\"\\\", I break the user rule \\\"omit year fields entirely\\\".\\n    *   However, the system prompt says \\\"Here's the json schema you must adhere to\\\". This is usually the highest priority.\\n    *   I will assume the system schema is the validation target. I will include `year` as an empty string.\\n\\n    *   Wait, is it possible that the \\\"s.\\\" line makes it a Reference, and for References, the publication info is not applicable?\\n    *   Yes.\\n    *   So `title` and `year` are missing.\\n    *   I will use \\\"\\\".\\n\\n    *   Let's check the `library_reference`.\\n    *   `shelfmark`: string or null.\\n    *   `subjects`: string or null.\\n    *   Both missing -> null.\\n\\n    *   Final plan:\\n    *   type: Reference\\n    *   author: Montaghemi, Nourhomadeh\\n    *   publication: all empty/null.\\n    *   library_reference: all null.\\n\\n    *   Wait, is \\\"Sonnenbichler - Montaghemi, Nourhomadeh\\\" a subject?\\n    *   No, it's the target of the cross-reference.\\n    *   Is it a shelfmark? No.\\n\\n    *   Okay, ready to generate JSON.\",\"format\":\"unknown\",\"index\":0}]},\"native_finish_reason\":\"stop\"}],\"created\":1776762869,\"model\":\"qwen/qwen3.6-plus-04-02\",\"object\":\"chat.completion\",\"service_tier\":null,\"system_fingerprint\":null,\"usage\":{\"completion_tokens\":5084,\"prompt_tokens\":1783,\"total_tokens\":6867,\"completion_tokens_details\":{\"accepted_prediction_tokens\":null,\"audio_tokens\":0,\"reasoning_tokens\":4948,\"rejected_prediction_tokens\":null,\"image_tokens\":0},\"prompt_tokens_details\":{\"audio_tokens\":0,\"cached_tokens\":0,\"cache_write_tokens\":0,\"video_tokens\":0},\"cost\":0.010493275,\"is_byok\":false,\"cost_details\":{\"upstream_inference_cost\":0.010493275,\"upstream_inference_prompt_cost\":0.000579475,\"upstream_inference_completions_cost\":0.0099138}},\"provider\":\"Alibaba\"}"}, "scoring": {"f1_micro": 0.8800492105802747, "f1_macro": 0.8664638783269962, "micro_precision": 0.8716490658001624, "micro_recall": 0.8886128364389234, "total_instances": 263, "total_tp": 2146, "total_fp": 316, "total_fn": 269, "cost_summary": {"total_input_tokens": 477609, "total_output_tokens": 866856, "total_tokens": 1344465, "input_cost_usd": 0.1552229249999996, "output_cost_usd": 1.6903692000000003, "total_cost_usd": 1.8455921249999998}}, "pricing": {"bucket_date": "2026-04-21", "age_days": 0, "input_price_per_million": 0.325, "output_price_per_million": 1.95}, "timing": {"total_response_s": 10864.19, "mean_response_s": 41.31, "slowest_response_s": 139.65, "inputs_timed": 263, "inputs_stored": 263, "span_s": 585.83}, "normalized_score": 86.64638783269962}