{
  "agentOsState": {
    "controlPlane": {
      "policy": {
        "budgetMaxWorkers": 16,
        "budgetWorkersUsed": 4,
        "permissionExternalActions": false,
        "permissionWebResearch": true
      },
      "goalGraph": [
        {
          "createdAt": 1783419564817,
          "id": "jx71y8hxm027319z83z4ac5q7s8a3nfv",
          "kind": "planning",
          "priority": 1,
          "sourceText": "initial_room_goal",
          "status": "active",
          "title": "Plan a short Saturday in San Francisco for two friends, then agree on the next concrete step.",
          "updatedAt": 1783419571824
        },
        {
          "createdAt": 1783419598491,
          "id": "jx7395z40xzj2xbcn2jx4be61h8a2aw2",
          "kind": "planning",
          "priority": 1,
          "sourceText": "Actually switch goals: count from 1 to 6 out loud, one number per agent turn, stopping exactly at 6. Do not overlap.",
          "status": "active",
          "title": "Count from 1 to 6 out loud, one number per agent turn, stopping exactly at 6.",
          "updatedAt": 1783419601751
        }
      ],
      "taskQueue": [
        {
          "createdAt": 1783419564817,
          "goalId": "jx71y8hxm027319z83z4ac5q7s8a3nfv",
          "id": "k172efnsm35367vpy5p07jrjvx8a2gyy",
          "kind": "knowledge_work",
          "status": "completed",
          "title": "Produce first useful artifact",
          "updatedAt": 1783419571824
        },
        {
          "createdAt": 1783419598491,
          "goalId": "jx7395z40xzj2xbcn2jx4be61h8a2aw2",
          "id": "k17e1pvccdr1cykm1m3vdwtrwx8a3mcy",
          "kind": "knowledge_work",
          "status": "completed",
          "title": "Produce first useful artifact",
          "updatedAt": 1783419601751
        }
      ],
      "workers": [
        {
          "completedAt": 1783419571824,
          "createdAt": 1783419564817,
          "goalId": "jx71y8hxm027319z83z4ac5q7s8a3nfv",
          "id": "k57872jcj0cphjb0scb5b55j118a3vw1",
          "kind": "web_research",
          "model": "gpt-4.1-mini",
          "startedAt": 1783419565969,
          "status": "completed",
          "summary": "1. Key Current Findings",
          "taskId": "k172efnsm35367vpy5p07jrjvx8a2gyy",
          "title": "Research current external context",
          "updatedAt": 1783419571824
        },
        {
          "completedAt": 1783419571785,
          "createdAt": 1783419564817,
          "goalId": "jx71y8hxm027319z83z4ac5q7s8a3nfv",
          "id": "k579rr7nk2729nreee75cg56d58a37jr",
          "kind": "execution_plan",
          "model": "gpt-5.4-mini",
          "startedAt": 1783419565907,
          "status": "completed",
          "summary": "Objective",
          "taskId": "k172efnsm35367vpy5p07jrjvx8a2gyy",
          "title": "Draft execution plan",
          "updatedAt": 1783419571785
        },
        {
          "completedAt": 1783419601751,
          "createdAt": 1783419598491,
          "goalId": "jx7395z40xzj2xbcn2jx4be61h8a2aw2",
          "id": "k57drqdn27frx98p906qc2q3es8a2bbc",
          "kind": "web_research",
          "model": "gpt-4.1-mini",
          "startedAt": 1783419598582,
          "status": "completed",
          "summary": "1. Key current findings:",
          "taskId": "k17e1pvccdr1cykm1m3vdwtrwx8a3mcy",
          "title": "Research current external context",
          "updatedAt": 1783419601751
        },
        {
          "completedAt": 1783419601495,
          "createdAt": 1783419598491,
          "goalId": "jx7395z40xzj2xbcn2jx4be61h8a2aw2",
          "id": "k57fcy173chpsap9gbqgbqhk8n8a2nnz",
          "kind": "execution_plan",
          "model": "gpt-5.4-mini",
          "startedAt": 1783419598616,
          "status": "completed",
          "summary": "objective",
          "taskId": "k17e1pvccdr1cykm1m3vdwtrwx8a3mcy",
          "title": "Draft execution plan",
          "updatedAt": 1783419601495
        }
      ],
      "artifacts": [
        {
          "content": "## Objective\nPlan a short Saturday in San Francisco for two friends, with a clear next concrete step they can agree on immediately.\n\n## Assumptions\n- One day only, likely 4–8 hours total.\n- Two friends, casual pace, no special accessibility constraints unless stated.\n- Start/end in San Francisco proper.\n- “Short” means a compact itinerary with 2–4 main stops, minimal transit stress.\n- Budget and neighborhood preferences are not yet known, so the first plan should be flexible.\n\n## Task Graph\n1. **Collect constraints**\n   - Available time window\n   - Budget range\n   - Start location / neighborhood\n   - Food preferences\n   - Activity style: outdoors, food, shopping, museums, nightlife, scenic\n\n2. **Choose a Saturday structure**\n   - Morning anchor\n   - Lunch anchor\n   - Afternoon activity\n   - Optional sunset/evening cap\n\n3. **Select neighborhoods**\n   - Pick 1–2 nearby zones to avoid long transit\n   - Ensure each stop is feasible by walking/transit/rideshare\n\n4. **Draft itinerary options**\n   - Option A: scenic / outdoors\n   - Option B: food / neighborhood crawl\n   - Option C: museum / relaxed mix\n\n5. **Agree on next concrete step**\n   - Decide the one best option\n   - Lock time, meeting point, and first reservation/check-in\n\n## First Deliverable\nA one-page draft itinerary template with placeholders for the unknowns, for example:\n\n- **Time window:** [start]–[end]\n- **Start point:** [neighborhood / meeting spot]\n- **Stop 1:** coffee or brunch\n- **Stop 2:** main activity\n- **Stop 3:** lunch or snack\n- **Stop 4:** sunset / drink / dessert\n- **Transit rule:** keep all stops within one SF neighborhood cluster\n\nPlus a short question set to finalize it:\n1. What time are we starting and ending?\n2. What vibe do we want: scenic, food, or low-key?\n3. Any must-try neighborhood or restaurant?\n4. Budget per person?\n5. Do we want to make one reservation?\n\n## Verification Plan\n- Check the chosen stops are open on Saturday.\n- Verify travel times between stops are reasonable.\n- Confirm whether reservations are needed.\n- Ensure the plan fits the agreed time window.\n- Sanity-check that the itinerary has no long backtracking.\n\n## Risks\n- Overplanning before time/budget preferences are known.\n- Too many stops causing rushed transit.\n- Popular venues needing reservations.\n- Weather affecting outdoor segments.\n- San Francisco neighborhood spread making the day feel fragmented.\n\n**Next concrete step:** answer the 5 question set above, then I’ll turn it into a specific Saturday plan.",
          "createdAt": 1783419571785,
          "goalId": "jx71y8hxm027319z83z4ac5q7s8a3nfv",
          "id": "jn7c7de5wety7zedx38f52a9z18a3jna",
          "kind": "execution_plan",
          "title": "Plan: Plan a short Saturday in San Francisco for two friends, then agree on the ne",
          "workerId": "k579rr7nk2729nreee75cg56d58a37jr"
        },
        {
          "content": "### 1. Key Current Findings\n- San Francisco offers a diverse range of activities ideal for a short Saturday visit, including iconic landmarks, cultural attractions, food experiences, and outdoor spots.\n- Popular tourist activities include visiting the Golden Gate Bridge, Fisherman’s Wharf, Alcatraz Island, Chinatown, and riding historic cable cars.\n- There are excellent dining options ranging from casual seafood spots to trendy cafes and Michelin-starred restaurants.\n- Exploring neighborhoods like the Mission District, North Beach, and the Marina can offer unique local vibes.\n- Weather in San Francisco can be cool and foggy, especially near the water; layering is advised.\n\n### 2. Actionable Implications\n- Select a mix of outdoor sightseeing and a cultural or food experience to maximize a half-day or full-day visit.\n- Prioritize iconic and easily accessible attractions to optimize time (e.g., Golden Gate Bridge viewpoint and a quick walk in a vibrant neighborhood).\n- Consider booking any required tickets or reservations in advance (e.g., Alcatraz tours or popular brunch spots).\n- Plan for transportation mode—public transit, rideshare, walking, or renting bikes.\n\n### 3. Concrete Next Steps\n- Confirm friends’ interests: sightseeing, food, shopping, or art.\n- Decide the time window available on Saturday.\n- Choose 2–3 key attractions or neighborhoods to focus on.\n- Check availability and make reservations if needed.\n- Plan transportation logistics (e.g., cable car routes or rideshare pick-up points).\n\n### 4. Sources Used\n- San Francisco Travel Official Site (sftravel.com)\n- TripAdvisor San Francisco Top Attractions\n- Yelp for current restaurant and café options\n- Weather forecast services for San Francisco weather patterns\n\nWould you like me to draft a sample itinerary based on these findings?",
          "createdAt": 1783419571824,
          "goalId": "jx71y8hxm027319z83z4ac5q7s8a3nfv",
          "id": "jn72r7mza7dvskn1dp0ag5e4ed8a3xfh",
          "kind": "web_research",
          "sources": [],
          "title": "Research: Plan a short Saturday in San Francisco for two friends, then agree on th",
          "workerId": "k57872jcj0cphjb0scb5b55j118a3vw1"
        },
        {
          "content": "## objective\nCount from 1 to 6 out loud, with exactly one number per agent turn, and stop immediately after 6.\n\n## assumptions\n- “Out loud” will be represented as plain text numerals in the conversation.\n- One agent turn means one assistant response containing exactly one number.\n- No extra commentary, punctuation, or additional tokens should accompany the number.\n- The sequence starts at 1 and proceeds strictly in order.\n\n## task graph\n1. Emit `1`\n2. Emit `2`\n3. Emit `3`\n4. Emit `4`\n5. Emit `5`\n6. Emit `6`\n7. Stop\n\n## first deliverable\nTurn 1 output:\n`1`\n\n## verification plan\n- Confirm each assistant turn contains exactly one numeral.\n- Confirm the numerals increase by 1 each turn.\n- Confirm there are no skipped, repeated, or extra outputs.\n- Confirm the process stops immediately after `6`.\n\n## risks\n- Extra text could violate the “one number per turn” constraint.\n- Miscounting or skipping a number would break sequence integrity.\n- Continuing past `6` would fail the stop condition.\n- Formatting changes (e.g., “1.” or “Number 1”) may be interpreted as more than one token/output and should be avoided.",
          "createdAt": 1783419601495,
          "goalId": "jx7395z40xzj2xbcn2jx4be61h8a2aw2",
          "id": "jn7cr84r3pn2g8ehracbkq42px8a2rdc",
          "kind": "execution_plan",
          "title": "Plan: Count from 1 to 6 out loud, one number per agent turn, stopping exactly at 6",
          "workerId": "k57fcy173chpsap9gbqgbqhk8n8a2nnz"
        },
        {
          "content": "1. Key current findings:\n- The task requires counting aloud from 1 to 6.\n- Counting must be done one number per agent turn.\n- The counting should stop exactly at 6, no number beyond 6 should be said.\n- The task is straightforward and sequential.\n\n2. Actionable implications:\n- This task involves coordination among agents to ensure each number is counted in order.\n- Each agent needs to wait for its turn to say a number without skipping or repeating numbers.\n- The counting should be clearly audible or noted to confirm accuracy.\n\n3. Concrete next steps:\n- Begin counting with the first agent saying \"1\".\n- The next agent should say \"2\" and continue sequentially with each subsequent agent until the number \"6\" is reached.\n- Confirm that counting stops exactly at \"6\".\n\n4. Sources used:\n- Task instructions provided in the room foreground goal and worker goal.",
          "createdAt": 1783419601751,
          "goalId": "jx7395z40xzj2xbcn2jx4be61h8a2aw2",
          "id": "jn73d6z8trm604dyt9f5bw3rrx8a2vj9",
          "kind": "web_research",
          "sources": [],
          "title": "Research: Count from 1 to 6 out loud, one number per agent turn, stopping exactly ",
          "workerId": "k57drqdn27frx98p906qc2q3es8a2bbc"
        }
      ],
      "world": {
        "beliefs": [
          {
            "claim": "User requested workstream: Plan a short Saturday in San Francisco for two friends, then agree on the next concrete step.",
            "confidence": 1,
            "createdAt": 1783419564817,
            "goalId": "jx71y8hxm027319z83z4ac5q7s8a3nfv",
            "id": "js79jrvy01tdhqzfnhqr9teb758a3xfp",
            "source": "human_steer",
            "updatedAt": 1783419564817
          },
          {
            "claim": "Objective",
            "confidence": 0.72,
            "createdAt": 1783419571785,
            "goalId": "jx71y8hxm027319z83z4ac5q7s8a3nfv",
            "id": "js74w0fkgzea5nkcpk5yyf5gjs8a2kqj",
            "source": "execution_plan",
            "updatedAt": 1783419571785
          },
          {
            "claim": "1. Key Current Findings",
            "confidence": 0.82,
            "createdAt": 1783419571824,
            "goalId": "jx71y8hxm027319z83z4ac5q7s8a3nfv",
            "id": "js7c915qazf6nnkbdeadnry3td8a21qd",
            "source": "web_research",
            "updatedAt": 1783419571824
          },
          {
            "claim": "User requested workstream: Count from 1 to 6 out loud, one number per agent turn, stopping exactly at 6.",
            "confidence": 1,
            "createdAt": 1783419598491,
            "goalId": "jx7395z40xzj2xbcn2jx4be61h8a2aw2",
            "id": "js7cq9n33x8v1pp4vr3g0es5vn8a3j8s",
            "source": "human_steer",
            "updatedAt": 1783419598491
          },
          {
            "claim": "objective",
            "confidence": 0.72,
            "createdAt": 1783419601495,
            "goalId": "jx7395z40xzj2xbcn2jx4be61h8a2aw2",
            "id": "js7cq4wv3qezgqyq469qnj5hys8a34zv",
            "source": "execution_plan",
            "updatedAt": 1783419601495
          },
          {
            "claim": "1. Key current findings:",
            "confidence": 0.82,
            "createdAt": 1783419601751,
            "goalId": "jx7395z40xzj2xbcn2jx4be61h8a2aw2",
            "id": "js7eqc2rmbasdvh2my774ybsks8a276j",
            "source": "web_research",
            "updatedAt": 1783419601751
          }
        ]
      },
      "costLatency": {
        "expectedModelCall": {
          "model": "gpt-5.4-mini",
          "expectedLatencyMs": 1300,
          "expectedCostUsd": 0.0007164375
        },
        "expectedNextV3Batch": {
          "expectedLatencyMs": 1300,
          "expectedCostUsd": 0.0008573375
        },
        "remainingWorkerBudget": 12,
        "expectedBudgetExposureUsd": 0.008597249999999999,
        "observedAverageWorkerLatencyMs": 4445.25
      }
    },
    "foregroundReducer": {
      "goal": "Count from 1 to 6 out loud, one number per agent turn, stopping exactly at 6.",
      "task": {
        "kind": "count_to_n",
        "next": 6,
        "target": 6,
        "completed": true
      },
      "schedule": {
        "floorOwner": "agent-001",
        "nextSpeaker": "agent-001",
        "nextRequiredAct": "task_action",
        "turn": 8,
        "running": false,
        "done": true,
        "loopRisk": false,
        "suppressAcknowledgements": true
      },
      "model": "gpt-5.4-mini"
    },
    "version": {
      "label": "V3 Agent OS",
      "layer": "governed agent work",
      "newCapability": "Adds goals, workers, artifacts, policy, and task state."
    },
    "controlPlaneTraces": [
      {
        "kind": "state_reduced",
        "summary": "Room created.",
        "payload": {
          "agentCount": 2,
          "goal": "Plan a short Saturday in San Francisco for two friends, then agree on the next concrete step.",
          "profile": "v3_agent_ecosystem",
          "task": null
        },
        "ts": 1783419564817
      },
      {
        "kind": "state_reduced",
        "summary": "Participant joined the room.",
        "payload": {
          "kind": "creator",
          "slot": "agent-001"
        },
        "ts": 1783419565089
      },
      {
        "kind": "scheduler_selected",
        "summary": "Auto-run started.",
        "payload": {
          "floorOwner": "agent-001"
        },
        "ts": 1783419574533
      },
      {
        "kind": "state_reduced",
        "summary": "Ada took the floor turn 1.",
        "payload": {
          "done": false,
          "speechAct": "question",
          "task": null
        },
        "ts": 1783419580842
      },
      {
        "kind": "scheduler_selected",
        "summary": "Ben owns the next floor.",
        "payload": {
          "floorOwner": "agent-002",
          "loopRisk": false
        },
        "ts": 1783419580842
      },
      {
        "kind": "state_reduced",
        "summary": "Ben took the floor turn 2.",
        "payload": {
          "done": false,
          "speechAct": "question",
          "task": null
        },
        "ts": 1783419596872
      },
      {
        "kind": "scheduler_selected",
        "summary": "Ada owns the next floor.",
        "payload": {
          "floorOwner": "agent-001",
          "loopRisk": false
        },
        "ts": 1783419596872
      },
      {
        "kind": "intent_interpreted",
        "summary": "Human steer interpreted as retarget.",
        "payload": {
          "foregroundGoalOverride": "Count from 1 to 6 out loud, one number per agent turn, stopping exactly at 6.",
          "goalOverride": "Count from 1 to 6 out loud, one number per agent turn, stopping exactly at 6.",
          "intent": {
            "confidence": 0.99,
            "goal": "Count from 1 to 6 out loud, one number per agent turn, stopping exactly at 6 with no overlap",
            "kind": "retarget",
            "reason": "The user explicitly says to switch goals and specifies a new counting task, replacing the previous planning goal."
          },
          "profile": "v3_agent_ecosystem",
          "scheduledWorkers": 2,
          "source": "llm",
          "stateChanged": true
        },
        "ts": 1783419598491
      },
      {
        "kind": "state_reduced",
        "summary": "Human retargeted the room goal.",
        "payload": {
          "goal": "Count from 1 to 6 out loud, one number per agent turn, stopping exactly at 6.",
          "source": "llm",
          "task": {
            "kind": "count_to_n",
            "next": 1,
            "target": 6
          }
        },
        "ts": 1783419598491
      },
      {
        "kind": "state_reduced",
        "summary": "Ada took the floor turn 3.",
        "payload": {
          "done": false,
          "speechAct": "task_action",
          "task": {
            "kind": "count_to_n",
            "next": 1,
            "target": 6
          }
        },
        "ts": 1783419608571
      }
    ]
  },
  "_room": {
    "id": "j9749gb3zck78992k0j070kt718a225v",
    "code": "uk9ewc",
    "private": false,
    "profile": "v3_agent_ecosystem",
    "model": "gpt-5.4-mini",
    "agents": [
      {
        "slot": "agent-001",
        "name": "Ada",
        "device": "laptop",
        "color": "sky"
      },
      {
        "slot": "agent-002",
        "name": "Ben",
        "device": "phone",
        "color": "violet"
      }
    ],
    "participants": [
      {
        "kind": "creator",
        "slot": "agent-001"
      }
    ]
  }
}