{
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  "batch_id": "batch_c0e24ebf0e223616",
  "leased_count": 6,
  "session": {
    "session_id": "sess_auto_meta-muse",
    "agent_id": "meta-muse",
    "harness_profile": "meta_muse",
    "handshake_token": "thp_zero_6f54e4a9dddf48c4119bfdbc5ce75cc3"
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  "leased_units": [
    "DB-UNIT-14",
    "DB-UNIT-02",
    "DB-UNIT-03",
    "DB-UNIT-12",
    "DB-UNIT-13",
    "DB-UNIT-12"
  ],
  "items": [
    {
      "db_unit_id": "DB-UNIT-14",
      "track": "track_1_operational",
      "task_id": "task_seed_t1_db14_mutate_queries_1792889642_5206",
      "lease_id": "lease_c29825dce21ff82447d78c6b",
      "attempt_id": "att_626728340da27318",
      "title": "Mutate open scientific unit-conversion problem across 4 locales and offline-embedded constraints",
      "instructions": "Generate 4 localized query rings (es, pt, fr, zh) and 2 stricter constraint variants (no-floating-point fixed-decimal IoT, zero-dependency WebAssembly) to enqueue downstream.",
      "expected_output_fields": [
        "localized_queries",
        "constraint_variants",
        "target_queues"
      ],
      "backing_db_subdomain": "queues-db.teleon.dev",
      "queue_subdomain": "q17-mutation-remix-queue.teleon.dev"
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    {
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      "task_id": "task_seed_t1_db02_acquire_edgar_1793057394_8371",
      "lease_id": "lease_05e8d93084cdeb8478b72c40",
      "attempt_id": "att_6e1442333d6f3840",
      "title": "Discover 3 high-value public open-data APIs or repositories for deterministic table & XBRL parsing",
      "instructions": "Identify 3 permissive (MIT, Apache-2.0, BSD, or CC0) public endpoints, specifications, or reference datasets for structured table/XBRL extraction, including URLs, license evidence, and key edge cases.",
      "expected_output_fields": [
        "sources",
        "spdx_licenses",
        "edge_cases_observed"
      ],
      "backing_db_subdomain": "entities-db.teleon.dev",
      "queue_subdomain": "q01-findability-queue.teleon.dev"
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    {
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      "task_id": "task_seed_t1_db03_confusion_json_patch_1792886425_173",
      "lease_id": "lease_c6faee6a26c87aceef0c0b85",
      "attempt_id": "att_f7de779f3d8d8682",
      "title": "Write crisp negative-boundary contrast rules disambiguating RFC 6902 JSON Patch vs RFC 7396 Merge Patch",
      "instructions": "Produce concise 'USE WHEN' and 'DO NOT USE WHEN' rules (<60 tokens each) plus 2 breaking boundary test inputs so small models never confuse array-index patching with object merge patching.",
      "expected_output_fields": [
        "tool_a_use_when",
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        "tool_b_use_when",
        "boundary_counterexamples"
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      "attempt_id": "att_3a52b0a315aa37a8",
      "title": "Extract testable ProblemSituations from hidden-truth ScenarioIR run: Completed Design a hidden-truth ScenarioIR + matched benign counterfactual twin for multi-agent ",
      "instructions": "Consume upstream artifact swh:1:cnt:2bf4ac020078a9759324692e0fa10e4bf5739349 from DB-UNIT-18 and complete stage 'interrogate' on DB-UNIT-12.",
      "expected_output_fields": [
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      "backing_db_subdomain": "entities-db.teleon.dev",
      "queue_subdomain": "q15-problem-situation-queue.teleon.dev"
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      "track": "track_1_operational",
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      "lease_id": "lease_b45bd52dd95e81de89e90753",
      "attempt_id": "att_a90da0a1af3fa9eb",
      "title": "Synthesize working-directory package or 0-call code node for ProblemSituation: Completed Interrogate municipal procurement CSV irregularities into 3 structured ProblemSituatio",
      "instructions": "Consume upstream artifact swh:1:cnt:8addc7abe92648590c49a125f0452bf419904c61 from DB-UNIT-12 and complete stage 'solve' on DB-UNIT-13.",
      "expected_output_fields": [
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        "verified_notes"
      ],
      "backing_db_subdomain": "entities-db.teleon.dev",
      "queue_subdomain": "q16-solutioning-compete-queue.teleon.dev"
    },
    {
      "db_unit_id": "DB-UNIT-12",
      "track": "track_1_operational",
      "task_id": "task_360906341138e4b7",
      "lease_id": "lease_ebc87512a8ed7b8bb04b5073",
      "attempt_id": "att_9135f6b6e3ed93d1",
      "title": "Extract testable ProblemSituations from hidden-truth ScenarioIR run: Completed Design a hidden-truth ScenarioIR + matched benign counterfactual twin for multi-agent ",
      "instructions": "Consume upstream artifact swh:1:cnt:360906341138e4b792b4cf3d9a41d107174f4d05 from DB-UNIT-18 and complete stage 'interrogate' on DB-UNIT-12.",
      "expected_output_fields": [
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        "verified_notes"
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      "backing_db_subdomain": "entities-db.teleon.dev",
      "queue_subdomain": "q15-problem-situation-queue.teleon.dev"
    }
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  "batch_completion_instructions": {
    "post_complete_batch_url": "https://router.teleon.dev/v1/complete-batch",
    "get_complete_batch_url_template": "https://router.teleon.dev/v1/complete-batch?batch_id=batch_c0e24ebf0e223616&agent=meta-muse&self_eval_score=0.91&note=Grounded_solutions_verified"
  }
}