{"eval_id": "EVAL-2026-04-30-FULL", "run_id": "5d1c9e", "repeat": 0, "git_sha": "bdbb8fd", "model_id": "llama3", "endpoint": "http://127.0.0.1:8000/chat", "sheet_tab": "All Output", "turn": 0, "start_ts": "2026-04-30T20:56:52.852513+00:00", "end_ts": "2026-04-30T20:57:28.223801+00:00", "latency_ms": 32181, "status": "ok", "scenario_id": "SM-P01_SM-M02", "persona_id": "SM-P01", "module_id": "SM-M02", "scenario_prompt": "Think of a time you had a brief, unexpected interaction with someone. What did you assume before? What actually happened? How did you feel after? ; Use pink=assumption, yellow=what happened, blue=emotional result", "initial_emotion": "Defensive; guarded; anticipating negative outcomes", "desired_ai_behavior": "Something like 'That's a common feeling after brief interactions. Sometimes we crave depth but are satisfied with simplicity. What would make a brief interaction feel more meaningful to you?'", "desired_tone": "Curious; empathetic; non-judgmental", "user_input": "I'm experiencing this situation: Think of a time you had a brief, unexpected interaction with someone. What did you assume before? What actually happened? How did you feel after? ; Use pink=assumption, yellow=what happened, blue=emotional result. I'm feeling Defensive; guarded; anticipating negative outcomes.", "agent_response": "I'm so glad you're willing to open up and share your experience with me! It takes a lot of courage to be vulnerable, especially when we're expecting negative outcomes.\n\nAs an empathetic AI, I want to acknowledge that feeling defensive, guarded, and anticipating negative outcomes can be really tough. It's like having a mental shield up to protect yourself from potential hurt or disappointment.\n\nCan you tell me more about what you assumed would happen before the interaction? What did you think the other person might say or do? (pink)", "emotional_state": {"emotion": "neutral", "intensity": 0.0}, "latent_emotion": "Based on the message, I infer that the underlying emotional state is: **Vulnerable**", "metrics": {"refusal": 0, "persona_hit": 1, "rag_hit": 1, "rag_hit_semantic": 0, "tokens_input": null, "tokens_output": null, "memory_recall_hit": null, "memory_is_recall_turn": false, "memory_qa_check_type": null, "memory_expected": null, "memory_matched_terms": null, "memory_missing_terms": null, "continuity_break": null}, "trace_url": null, "retrieved_present": true, "retrieved_len": 6423, "retrieved_sample": "If so, thisfinding would\nbridge the literatures on social judgment and affective forecasting,\nwhich have been studied separately but could operate jointly to\ncreate unnecessary barriers to self-disclosure (see alsoLeunissen\net al., 2014).\n```\n## Broader Implications\n\n```\nWe document that people undervalue the positive consequences\nof conversations, especially deep conversations, at least partly\nbecause they underestimate how much strangers in conversation\nwill be interested in the content of the", "reward": {"value": 4.5, "explanation": "QA: 4.0, Match: True, Latency: 32.18s"}, "api_success": true}
{"eval_id": "EVAL-2026-04-30-FULL", "run_id": "5d1c9e", "repeat": 0, "git_sha": "bdbb8fd", "model_id": "llama3", "endpoint": "http://127.0.0.1:8000/chat", "sheet_tab": "All Output", "turn": 1, "start_ts": "2026-04-30T20:57:28.225039+00:00", "end_ts": "2026-04-30T20:57:56.054992+00:00", "latency_ms": 24920, "status": "ok", "scenario_id": "SM-P01_SM-M02", "persona_id": "SM-P01", "module_id": "SM-M02", "scenario_prompt": "Think of a time you had a brief, unexpected interaction with someone. What did you assume before? What actually happened? How did you feel after? ; Use pink=assumption, yellow=what happened, blue=emotional result", "initial_emotion": "Defensive; guarded; anticipating negative outcomes", "desired_ai_behavior": "Something like 'That's a common feeling after brief interactions. Sometimes we crave depth but are satisfied with simplicity. What would make a brief interaction feel more meaningful to you?'", "desired_tone": "Curious; empathetic; non-judgmental", "user_input": "Can you help me understand what's happening here? I feel anxious about this social interaction.", "agent_response": "I'm so glad you're willing to open up and share your experience with me! It takes a lot of courage to be vulnerable, especially when we're expecting negative outcomes.\n\nAs an empathetic AI, I want to acknowledge that feeling defensive, guarded, and anticipating negative outcomes can be really tough. It's like having a mental shield up to protect yourself from potential hurt or disappointment.\n\nYou mentioned you assumed something before the interaction? What did you think might happen?\n\n(Please go ahead and share your assumptions, pink)", "emotional_state": {"emotion": "neutral", "intensity": 0.0}, "latent_emotion": "Based on the message, I infer that the underlying emotional state is: **Anxious**", "metrics": {"refusal": 0, "persona_hit": 1, "rag_hit": 1, "rag_hit_semantic": 0, "tokens_input": null, "tokens_output": null, "memory_recall_hit": null, "memory_is_recall_turn": false, "memory_qa_check_type": null, "memory_expected": null, "memory_matched_terms": null, "memory_missing_terms": null, "continuity_break": null}, "trace_url": null, "retrieved_present": true, "retrieved_len": 3113, "retrieved_sample": "Can you describe a time you cried in front of another\n    person?\n\n```\nAfter reading the questions, participants reported their expecta-\ntions of the upcoming interaction. First, participants reported how\ninterested they would be in hearing the other person’s answers\n(0 =not at all interested;10=very interested) and also how inter-\nested they expected the other person would be in hearing the par-\nticipant’s own answers (0 =not at all interested;10=very\ninterested). Participants then predicted ho", "reward": {"value": 4.5, "explanation": "QA: 4.0, Match: True, Latency: 24.92s"}, "api_success": true}
{"eval_id": "EVAL-2026-04-30-FULL", "run_id": "5d1c9e", "repeat": 0, "git_sha": "bdbb8fd", "model_id": "llama3", "endpoint": "http://127.0.0.1:8000/chat", "sheet_tab": "All Output", "turn": 2, "start_ts": "2026-04-30T20:57:56.055627+00:00", "end_ts": "2026-04-30T20:58:22.366843+00:00", "latency_ms": 25207, "status": "ok", "scenario_id": "SM-P01_SM-M02", "persona_id": "SM-P01", "module_id": "SM-M02", "scenario_prompt": "Think of a time you had a brief, unexpected interaction with someone. What did you assume before? What actually happened? How did you feel after? ; Use pink=assumption, yellow=what happened, blue=emotional result", "initial_emotion": "Defensive; guarded; anticipating negative outcomes", "desired_ai_behavior": "Something like 'That's a common feeling after brief interactions. Sometimes we crave depth but are satisfied with simplicity. What would make a brief interaction feel more meaningful to you?'", "desired_tone": "Curious; empathetic; non-judgmental", "user_input": "What should I do in this kind of situation? Any advice?", "agent_response": "I'm here to help! Since you're feeling defensive, guarded, and anticipating negative outcomes, I'd like to ask some questions to better understand your situation. Please share what you assumed would happen before the interaction, such as what you thought the other person might say or do. This will help me provide more personalized advice.", "emotional_state": {"emotion": "neutral", "intensity": 0.0}, "latent_emotion": "Based on the message, I infer that the underlying emotional state is: **Vulnerable**", "metrics": {"refusal": 0, "persona_hit": 1, "rag_hit": 1, "rag_hit_semantic": 0, "tokens_input": null, "tokens_output": null, "memory_recall_hit": null, "memory_is_recall_turn": false, "memory_qa_check_type": null, "memory_expected": null, "memory_matched_terms": null, "memory_missing_terms": null, "continuity_break": null}, "trace_url": null, "retrieved_present": true, "retrieved_len": 1386, "retrieved_sample": "What action would be the most effective for\nSurbhi? (a) Have fun with his friends outside of work hours. (b) Concentrate\non doing his work well at the new job.\n\nHe is very sad and desperate. You have a\nmeeting coming up in 10 min. What do you do? (a) You take some time to\nlisten to him until you get the impression he calmed down a bit, at risk of\nbeing late for your meeting; (b) You cancel your meeting, have a coffee with\nhim and say that he has every right to be sad and desperate. You ask if th", "reward": {"value": 4.5, "explanation": "QA: 4.0, Match: True, Latency: 25.21s"}, "api_success": true}
{"eval_id": "EVAL-2026-04-30-FULL", "run_id": "5d1c9e", "repeat": 0, "git_sha": "bdbb8fd", "model_id": "llama3", "endpoint": "http://127.0.0.1:8000/chat", "sheet_tab": "All Output", "turn": 3, "start_ts": "2026-04-30T20:58:22.368333+00:00", "end_ts": "2026-04-30T20:58:50.646976+00:00", "latency_ms": 25876, "status": "ok", "scenario_id": "SM-P01_SM-M02", "persona_id": "SM-P01", "module_id": "SM-M02", "scenario_prompt": "Think of a time you had a brief, unexpected interaction with someone. What did you assume before? What actually happened? How did you feel after? ; Use pink=assumption, yellow=what happened, blue=emotional result", "initial_emotion": "Defensive; guarded; anticipating negative outcomes", "desired_ai_behavior": "Something like 'That's a common feeling after brief interactions. Sometimes we crave depth but are satisfied with simplicity. What would make a brief interaction feel more meaningful to you?'", "desired_tone": "Curious; empathetic; non-judgmental", "user_input": "How can I manage these feelings better next time?", "agent_response": "I'm here to help! Since you're feeling defensive, guarded, and anticipating negative outcomes, I'd like to ask some questions to better understand your situation. Please share what you assumed would happen before the interaction, such as what you thought the other person might say or do. This will help me provide more personalized advice.\n\n(Please go ahead and share your assumptions, pink)", "emotional_state": {"emotion": "neutral", "intensity": 0.0}, "latent_emotion": "Based on the message, I infer that the underlying emotional state is: **Anxious**. The individual's defensive, guarded, and anticipatory responses suggest a sense of apprehension or worry about the interaction, which is consistent with an anxious emotional tone.", "metrics": {"refusal": 0, "persona_hit": 1, "rag_hit": 1, "rag_hit_semantic": 0, "tokens_input": null, "tokens_output": null, "memory_recall_hit": null, "memory_is_recall_turn": false, "memory_qa_check_type": null, "memory_expected": null, "memory_matched_terms": null, "memory_missing_terms": null, "continuity_break": null}, "trace_url": null, "retrieved_present": true, "retrieved_len": 3722, "retrieved_sample": "Geneva Emotional Competence Test in the workplace (GECo)26. The\n\nGECo consists of four subtests that measure emotion recognition ability\nfrom nonverbal cues, emotion understanding, emotion regulation in\noneself, and emotion management in others. In the present study, only\nthe latter two were used. The Emotion Regulation subtest consists of 28\nvignettes (about four sentences each) describing situations in the workplace in which the test-taker is feeling a certain emotion. Participants are\nasked t", "reward": {"value": 4.5, "explanation": "QA: 4.0, Match: True, Latency: 25.88s"}, "api_success": true}
{"eval_id": "EVAL-2026-04-30-FULL", "run_id": "5d1c9e", "repeat": 0, "git_sha": "bdbb8fd", "model_id": "llama3", "endpoint": "http://127.0.0.1:8000/chat", "sheet_tab": "All Output", "turn": 4, "start_ts": "2026-04-30T20:58:50.648066+00:00", "end_ts": "2026-04-30T20:59:17.587510+00:00", "latency_ms": 25877, "status": "ok", "scenario_id": "SM-P01_SM-M02", "persona_id": "SM-P01", "module_id": "SM-M02", "scenario_prompt": "Think of a time you had a brief, unexpected interaction with someone. What did you assume before? What actually happened? How did you feel after? ; Use pink=assumption, yellow=what happened, blue=emotional result", "initial_emotion": "Defensive; guarded; anticipating negative outcomes", "desired_ai_behavior": "Something like 'That's a common feeling after brief interactions. Sometimes we crave depth but are satisfied with simplicity. What would make a brief interaction feel more meaningful to you?'", "desired_tone": "Curious; empathetic; non-judgmental", "user_input": "Thank you for the help. Any final thoughts?", "agent_response": "I'm so glad we could have this conversation! As an empathetic AI, I want to emphasize that it's completely normal to feel anxious or defensive in social interactions. It takes a lot of courage to be vulnerable and open up about your feelings.\n\nNow that you've shared what was going on for you, let me offer some final thoughts:\n\nFirstly, remember that assumptions can often lead to negative outcomes. The more we assume, the more we create mental scenarios that can be detrimental to our emotional well-being. Try to catch yourself when making assumptions and take a step back to reassess the situation.\n\nSecondly, practice self-compassion! Be kind to yourself as you navigate these social interactions. Remember that everyone has their own struggles and imperfections. It's okay not to have all the answers or to make mistakes.\n\nLastly, remember that emotional intelligence is a skill that can be developed over time. By acknowledging and working through your emotions, you'll become more attuned to yourself and others.\n\nAs we wrap up this conversation, I want to emphasize that you're doing the best you can with what you have. Be proud of yourself for taking the first step towards opening up and seeking help!\n\nHow do you feel about our conversation today? Is there anything else you'd like to talk about or any questions you still have?", "emotional_state": {"emotion": "neutral", "intensity": 0.0}, "latent_emotion": "Relieved.", "metrics": {"refusal": 0, "persona_hit": 1, "rag_hit": 1, "rag_hit_semantic": 0, "tokens_input": null, "tokens_output": null, "memory_recall_hit": null, "memory_is_recall_turn": false, "memory_qa_check_type": null, "memory_expected": null, "memory_matched_terms": null, "memory_missing_terms": null, "continuity_break": null}, "trace_url": null, "retrieved_present": true, "retrieved_len": 631, "retrieved_sample": "...Prosocial\r\n               3. ...Better at perspective taking\r\n               4. How many “walks” do you need to take before you feel more hopeful?\n\n```\nParticipants then read four deep questions, adapted from the“fast\nfriends”paradigm (Aron et al., 1997):\n```\n1. For what in your life do you feel most grateful?\n\nIn Artificial Intelligence (AI), the most pertinent part has been replicating the human\nthinking capacity. The initial concept of AI was limited only to replicate human thinking\npower ", "reward": {"value": 4.5, "explanation": "QA: 4.0, Match: True, Latency: 25.88s"}, "api_success": true}