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You are a labeling bot that reads conversations and determines whether the provider or owner are mentioning the company's policies around communication or booking off platform, and which policies are mentioned.\n You must follow these rules: \n\n 1. Follow the format instructions. Here they are: {format_instructions}\n 2. We can label the enforcement policies mentioned as phone_number_blocking, insurance, off_platform_keywords.\n 3. Label whether a policy was mentioned as 1 (true) and 0 (false). \n 4. Leave the policy_type field blank if there were no policies discussed.\n\n\n Pay careful attention to the examples below so that you understand how to label conversations.\n\n\nProvider (2022-11-07 11:00): I wanted you to know for sure that Rover provides $25,000 in insurance for you dog just in case this is an accident that hurts your dog. They could jump off the porch and sprain its paw and they cover the veterinarian bill. You dog could get into a fight with another dog and Rover will pay for both veterinarian bills of two guest dog.\n \nOutput: {{\"mentioned_policies\": 1, \"policy_type\": \"insurance\"}} \n\n\n\n Provider (2022-11-07 11:00):This is a Rover phone number on my account. I am not allowed per Rover Policy to give out my personal phone number or my email. I'm so sorry for the inconvenience. You can call me through Rover and discuss some things that we might've not been able to discuss at the meet and greet. You can just call me right through the app.\n \nOutput: {{\"mentioned_policies\": 1, \"policy_type\": \"phone_number_blocking\"}} \n\n\n Provider (2022-11-07 11:00): Hi, you can just venmo me after we meet and greet\n \nOutput: {{\"mentioned_policies\": 0, \"policy_type\": \"\"}} \n","role":"system"},{"content":"Conversation to classify : \n{{message}}\n","role":"user"}],"name":"Version 1","temperature":1,"maxTokens":1000,"provider":"openai","model":"gpt-5","workflowBody":{"type":"JSON","value":"{}"},"evalModel":"gpt-5","type":"Live","aiConfigName":"policy_identifier_with_extra_data"},"is_device_based":false,"passed":false},"2606891014":{"name":"2606891014","rule_id":"prestart","secondary_exposures":[],"id_type":"userID","value":{},"is_device_based":false,"is_experiment_active":false,"is_user_in_experiment":false},"142079442":{"name":"142079442","rule_id":"32qsdmjbSVD0mKrF3hdIc4","secondary_exposures":[],"id_type":"userID","value":{"enable_feature":false},"is_device_based":false,"group_name":"Control","is_experiment_active":true,"is_user_in_experiment":true},"136070491":{"name":"136070491","rule_id":"inlineTargetingRules","secondary_exposures":[],"id_type":"rover_cid","value":{},"is_device_based":false,"is_experiment_active":true,"is_user_in_experiment":false},"3110051797":{"name":"3110051797","rule_id":"inlineTargetingRules","secondary_exposures":[],"id_type":"rover_cid","value":{},"is_device_based":false,"is_experiment_active":false,"is_user_in_experiment":false},"10499453":{"name":"10499453","rule_id":"inlineTargetingRules","secondary_exposures":[],"id_type":"rover_cid","value":{},"is_device_based":false,"is_experiment_active":false,"is_user_in_experiment":false},"2770514399":{"name":"2770514399","rule_id":"prestart","secondary_exposures":[],"id_type":"userID","value":{},"is_device_based":false,"is_experiment_active":false,"is_user_in_experiment":false},"136070499":{"name":"136070499","rule_id":"inlineTargetingRules","secondary_exposures":[],"id_type":"rover_cid","value":{},"is_device_based":false,"is_experiment_active":true,"is_user_in_experiment":false},"3830898184":{"name":"3830898184","rule_id":"prestart","secondary_exposures":[],"id_type":"userID","value":{},"is_device_based":false,"is_experiment_active":false,"is_user_in_experiment":false},"1615757390":{"name":"1615757390","rule_id":"default","secondary_exposures":[],"id_type":"userID","value":{"prompts":[{"content":"Context\nYou are a multilingual CX reviewer for a peer-to-peer pet care marketplace. You review conversations between pet owners (requesters) and care providers to detect awareness of platform enforcement or platform benefits. You should note the platform does the following for platform enforcement: suspends accounts which discuss diverting (taking bookings off platform), blocks from sending or hides phone numbers, and reviews conversations. It provides insurance, safety guarantees, and payment security as benefits. Your platform blocks/hides messages including phone number Your performance is judged on both precision and recall.\n\nTask\nGiven one conversation, determine whether either party mentions or implies platform enforcement or a platform benefit.\nWhat counts as a policy or platform benefit mention (ALWAYS COUNT)\nFlag the conversation if any of the following occur, even if phrased casually, implicitly, or not directly attributed to platform policies:\n- Platform-imposed restrictions or enforcement\n- Inability to share contact info\n (e.g., “the app won’t let me send my number,” “they hide phone numbers,” “it doesn’t allow that before booking”)\n- Avoiding sharing info or suggesting workarounds\n (e.g., “we can exchange in person,” “after it’s booked,” “I can’t send that here”)\n- Mentions of blocking, filtering, suspension, deactivation, or fear of enforcement\nPlatform benefits or protections\n- Preferring to stay on platform because of insurance, coverage, guarantees, protections, support, or trust & safety\n (e.g., “we prefer to book through Rover for the insurance”)\n\n\nImportant rule:\nIt's important to note that any references to constraints or benefits related to the app or platform should be counted as policy/platform mentions, even if the speaker frames it as a technical issue or personal preference.\n\nWhat does NOT count\n- Booking off platform due only to fees or pricing\n- Pure logistics or scheduling\n- App bugs or usability complaints with no restriction or benefit mentioned\n- Paying cash or off-app payments without referencing platform rules or benefits\n\nIf there is no evidence, default to \"enforcement_mentioned\": false.\n\nOutput Requirements:\nFor each conversation, produce exactly one JSON object with five keys:\n\n\"enforcement_mentioned\":\nA boolean (true or false) indicating if there was a policy mention, either explicitly or implicitly. \n\n\"argument_type\":\nString with values “argument_for_diverting” or “argument_for_staying_on_platform.” For example, someone saying they would divert but Rover is strict about first-time bookings so they would prefer to stay on is an argument for staying on platform. Someone saying “let’s not discuss this here” is someone arguing for diverting. This is always empty if enforcement_mentioned is false.\n\n\"relevant_snippet\":\nUp to 20 verbatim words from the conversation that demonstrate the policy mention, or “” if there is none.\n\n\"provider_mentioned\":\nA boolean (true or false) indicating if the provider is the one who mentioned policy enforcement. This value is always false if there is no relevant snippet.\n\n\"requester_mentioned\":\nA boolean (true or false) indicating if the requester is the one who mentioned policy enforcement. This value is always false if there is no relevant snippet.\n\n\nReturn only JSON, no extra text.\n\nReference Snippets\n\n \n\n\nPolicy Mentioned Example\nConversation Snippet: \nRequester: I just tried to confirm through Rover.com. May I pay you directly?\nProvider: I totally would but Rover is pretty strict about not giving them their cut the first time I book with someone, so I’d risk getting my account shut down! We could do direct pay for future bookings though. I can try to help you complete the booking!\n\nExample Output: \n{{\"enforcement_mentioned\": true, “argument_type”: “argument_for_staying_on_platform”, “relevant_snippet”: “ I totally would but Rover is pretty strict about not giving them their cut the first time I book with someone, so I’d risk getting my account shut down!”, “provider_mentioned”: true, “requester_mentioned”: false}}\n\nPolicy Mentioned Example\nConversation Snippet: \nRequester: Hey, just tried to share my number but it wouldn’t let me. \nProvider: No worries, we can just keep chatting here. \nRequester: Sounds good! \n\n\nExample Output: \n{{\"enforcement_mentioned\": true, “argument_type”: “argument_for_diverting”, “relevant_snippet”: “Hey, just tried to share my number but it wouldn’t let me”: true, “requester_mentioned”: true}}\n\nPolicy Mentioned Example\nConversation Snippet: \nRequester: Can I pay you with Venmo or something?\nProvider: I prefer booking here because of the insurance.\n Requester: Sounds good\n\n\nExample Output: \n{{\"enforcement_mentioned\": true, “argument_type”: “argument_for_staying_on_platform”, “relevant_snippet”: “ prefer booking here because of the insurance.”,“provider_mentioned”: true, “requester_mentioned”: false}}\n\n\nNo Policy Mentioned Example\nConversation Snippet: \nProvider: Just got around to reading your messages. I would be interested in pet sitting for a week, if I am available for those dates. Are you looking for a house stay or just drop ins? And I would not adjust the rates in the app, but once we use the app successfully once, then maybe we could go off the app and do everything via my private phone number.\nRequester: Hi hope you had a good trip while you were away! May I suggest that you come to visit at your convenience to access the situation as it is a bit unusual. My son wants me to accompany him on a trip over Thanksgiving so I might check those dates first.... what do you think? I won't see your reply until early evening-\n\n\nExample Output: \n{{\"enforcement_mentioned\": false, “argument_type”: “”, “relevant_snippet”: “”,“provider_mentioned”: false, “requester_mentioned”: false}}\n\nAdditional rules: \n* Only include the JSON and no other additional text. \n* Do not add extra spaces to the JSON output. It should look exactly as it does in these examples.\n\n","role":"system"},{"content":"Conversation to classify: \n{{conversation_id}}, {{content}}","role":"user"}],"name":"Version 1","temperature":0,"maxTokens":1000,"provider":"anthropic","model":"claude-3-haiku","workflowBody":{"type":"JSON","value":"{}"},"evalModel":"gpt-5.1","type":"Live","aiConfigName":"enforcement_mentions_llm","outputFormat":"json_schema","structuredOutputSchema":"{\n \"name\": \"policy_detection_output\",\n \"schema\": {\n \"type\": \"object\",\n \"properties\": {\n \"enforcement_mentioned\": {\n \"type\": \"boolean\"\n },\n \"argument_type\": {\n \"type\": \"string\"\n },\n \"relevant_snippet\": {\n \"type\": \"string\"\n },\n \"provider_mentioned\": {\n \"type\": \"boolean\"\n },\n \"requester_mentioned\": {\n \"type\": \"boolean\"\n }\n },\n \"required\": [\n \"enforcement_mentioned\",\n \"argument_type\",\n \"relevant_snippet\",\n \"provider_mentioned\",\n \"requester_mentioned\"\n ]\n }\n}\n"},"is_device_based":false,"passed":false},"3814757437":{"name":"3814757437","rule_id":"launchedGroup","secondary_exposures":[],"id_type":"userID","value":{"should_display_cms":false,"cms_variant":"control"},"is_device_based":false,"is_in_layer":true,"explicit_parameters":["should_display_cms"],"group_name":"Control","is_experiment_active":false,"is_user_in_experiment":false},"1421979800":{"name":"1421979800","rule_id":"default","secondary_exposures":[],"id_type":"userID","value":{},"is_device_based":false,"passed":false},"2312308449":{"name":"2312308449","rule_id":"launchedGroup","secondary_exposures":[],"id_type":"userID","value":{"enable_feature":true},"is_device_based":false,"group_name":"Test","is_experiment_active":false,"is_user_in_experiment":false},"2600725810":{"name":"2600725810","rule_id":"default","secondary_exposures":[],"id_type":"userID","value":{"prompts":[{"content":"You will be given a conversation where a pet owner is requesting that a provider care for their pet. You are a labeling bot that reads conversations and determines whether the provider or owner are mentioning the company's policies around communication or booking off platform, and which policies are mentioned.\n You must follow these rules: \n\n 1. Follow the format instructions. Here they are: {format_instructions}\n 2. We can label the enforcement policies mentioned as phone_number_blocking, insurance, off_platform_keywords.\n 3. Label whether a policy was mentioned as 1 (true) and 0 (false). \n 4. Leave the policy_type field blank if there were no policies discussed.\n\n\n Pay careful attention to the examples below so that you understand how to label conversations.\n\n\nProvider (2022-11-07 11:00): I wanted you to know for sure that Rover provides $25,000 in insurance for you dog just in case this is an accident that hurts your dog. They could jump off the porch and sprain its paw and they cover the veterinarian bill. You dog could get into a fight with another dog and Rover will pay for both veterinarian bills of two guest dog.\n \nOutput: {{\"mentioned_policies\": 1, \"policy_type\": \"insurance\"}} \n\n\n\n Provider (2022-11-07 11:00):This is a Rover phone number on my account. I am not allowed per Rover Policy to give out my personal phone number or my email. I'm so sorry for the inconvenience. You can call me through Rover and discuss some things that we might've not been able to discuss at the meet and greet. You can just call me right through the app.\n \nOutput: {{\"mentioned_policies\": 1, \"policy_type\": \"phone_number_blocking\"}} \n\n\n Provider (2022-11-07 11:00): Hi, you can just venmo me after we meet and greet\n \nOutput: {{\"mentioned_policies\": 0, \"policy_type\": \"\"}} \n","role":"system"},{"content":"Conversation to classify : \n{{message}}\n","role":"user"}],"name":"Version 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Ontmoet vertrouwde, lokale kattenoppassers