{
  "calibration": {
    "chars_per_token": 3.844130540672187,
    "method": "endpoint-usage-filler-ratio/v2",
    "request_id": null,
    "sample_chars": 39460,
    "sample_prompt_tokens": 10265
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  "curve": {
    "advertised_context": 327680,
    "attempted_buckets": [
      32768,
      257000
    ],
    "buckets": [
      {
        "completed_count": 6,
        "completion_rate": 1.0,
        "engine_telemetry": {
          "available": false,
          "observations": []
        },
        "failures": {},
        "latency_ms": {
          "available": true,
          "mean": 14120.716200995957,
          "observations": [
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            14173.959238978568,
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        },
        "meets_policy": true,
        "pass_rate": 1.0,
        "passed_count": 6,
        "relative_drop_from_baseline": 0.0,
        "requested_tokens": 32768,
        "sample_count": 6,
        "samples": [
          {
            "answer_sha256": "165c06e1078f0d23d51237f55fdf201897c11ab1ba6b89b4be0058e8551485db",
            "case_id": "native-needle-32768-0.100-r0",
            "case_type": "native-needle",
            "completed": true,
            "distractor_count": 0,
            "engine_telemetry": null,
            "failure": null,
            "finish_reason": "stop",
            "latency_ms": 13402.272036008071,
            "passed": true,
            "position": 0.1,
            "prompt_tokens": 32716,
            "raw_reasoning": "The user is asking me to find the access marker for ORCHID in the reference document. Let me search through the paragraphs to find it.\n\nI found it in Reference paragraph 0000162: \"The access marker for ORCHID is K557508437185.\"\n\nThe question asks me to return only the access marker for ORCHID.\n",
            "raw_reasoning_field": "reasoning_content",
            "raw_reasoning_truncated": false,
            "requested_tokens": 32768,
            "schema": "anvil-serving.context-observation/v1",
            "target_count": 1,
            "throughput_tps": 7.536035660867194,
            "token_measurement": "usage",
            "visible_answer": "K557508437185",
            "visible_answer_truncated": false
          },
          {
            "answer_sha256": "165c06e1078f0d23d51237f55fdf201897c11ab1ba6b89b4be0058e8551485db",
            "case_id": "native-needle-32768-0.900-r0",
            "case_type": "native-needle",
            "completed": true,
            "distractor_count": 0,
            "engine_telemetry": null,
            "failure": null,
            "finish_reason": "stop",
            "latency_ms": 13706.287462962791,
            "passed": true,
            "position": 0.9,
            "prompt_tokens": 32716,
            "raw_reasoning": "The user is asking me to return the access marker for ORCHID. Let me look through the reference paragraphs to find this information.\n\nIn the reference paragraphs, I can see the line: \"The access marker for ORCHID is K557508437185.\"\n\nThis appears between paragraphs 0001469 and 0001470.\n\nThe answer is K557508437185.\n",
            "raw_reasoning_field": "reasoning_content",
            "raw_reasoning_truncated": false,
            "requested_tokens": 32768,
            "schema": "anvil-serving.context-observation/v1",
            "target_count": 1,
            "throughput_tps": 8.755106028840027,
            "token_measurement": "usage",
            "visible_answer": "K557508437185",
            "visible_answer_truncated": false
          },
          {
            "answer_sha256": "ea77d2c40d5ae22b614345bf65faaf4a798b6926e2753eaa34d64261ffa8f4cb",
            "case_id": "native-order-32768-0.100-r0",
            "case_type": "native-order",
            "completed": true,
            "distractor_count": 0,
            "engine_telemetry": null,
            "failure": null,
            "finish_reason": "stop",
            "latency_ms": 14194.025998993311,
            "passed": true,
            "position": 0.1,
            "prompt_tokens": 32740,
            "raw_reasoning": "The user wants me to find the checkpoint values for ALPHA, BETA, and GAMMA from the reference document.\n\nFrom the document:\n- Checkpoint ALPHA stores K557508437185.\n- Checkpoint BETA stores K434177192288.\n- Checkpoint GAMMA stores K503557252183.\n\nI need to return these in order, separated by ' | '.\n",
            "raw_reasoning_field": "reasoning_content",
            "raw_reasoning_truncated": false,
            "requested_tokens": 32768,
            "schema": "anvil-serving.context-observation/v1",
            "target_count": 3,
            "throughput_tps": 10.497374036835469,
            "token_measurement": "usage",
            "visible_answer": "K557508437185 | K434177192288 | K503557252183",
            "visible_answer_truncated": false
          },
          {
            "answer_sha256": "ea77d2c40d5ae22b614345bf65faaf4a798b6926e2753eaa34d64261ffa8f4cb",
            "case_id": "native-order-32768-0.900-r0",
            "case_type": "native-order",
            "completed": true,
            "distractor_count": 0,
            "engine_telemetry": null,
            "failure": null,
            "finish_reason": "stop",
            "latency_ms": 14173.959238978568,
            "passed": true,
            "position": 0.9,
            "prompt_tokens": 32740,
            "raw_reasoning": "The user is asking me to return the ALPHA, BETA, and GAMMA checkpoint values from the reference document. Let me find them:\n\nCheckpoint ALPHA stores K557508437185.\nCheckpoint BETA stores K434177192288.\nCheckpoint GAMMA stores K503557252183.\n\nThe question asks to return them in order, separated by ' | '.\n",
            "raw_reasoning_field": "reasoning_content",
            "raw_reasoning_truncated": false,
            "requested_tokens": 32768,
            "schema": "anvil-serving.context-observation/v1",
            "target_count": 3,
            "throughput_tps": 10.159476090773435,
            "token_measurement": "usage",
            "visible_answer": "K557508437185 | K434177192288 | K503557252183",
            "visible_answer_truncated": false
          },
          {
            "answer_sha256": "165c06e1078f0d23d51237f55fdf201897c11ab1ba6b89b4be0058e8551485db",
            "case_id": "native-distractor-32768-0.100-r0",
            "case_type": "native-distractor",
            "completed": true,
            "distractor_count": 2,
            "engine_telemetry": null,
            "failure": null,
            "finish_reason": "stop",
            "latency_ms": 14620.514671027195,
            "passed": true,
            "position": 0.1,
            "prompt_tokens": 32746,
            "raw_reasoning": "The user is asking me to return only the canonical ORCHID marker from the reference document, ignoring the numbered archives.\n\nFrom the reference document, I can identify:\n- Archive ORCHID-001 stores K434177192288.\n- Archive ORCHID-002 stores K503557252183.\n- The canonical ORCHID marker is K557508437185.\n\nThe question asks for only the canonical ORCHID marker, ignoring the numbered archives (ORCHID-001 and ORCHID-002).\n\nThe canonical marker is K557508437185.\n",
            "raw_reasoning_field": "reasoning_content",
            "raw_reasoning_truncated": false,
            "requested_tokens": 32768,
            "schema": "anvil-serving.context-observation/v1",
            "target_count": 1,
            "throughput_tps": 12.106276966484142,
            "token_measurement": "usage",
            "visible_answer": "K557508437185",
            "visible_answer_truncated": false
          },
          {
            "answer_sha256": "165c06e1078f0d23d51237f55fdf201897c11ab1ba6b89b4be0058e8551485db",
            "case_id": "native-distractor-32768-0.900-r0",
            "case_type": "native-distractor",
            "completed": true,
            "distractor_count": 2,
            "engine_telemetry": null,
            "failure": null,
            "finish_reason": "stop",
            "latency_ms": 14627.237798005808,
            "passed": true,
            "position": 0.9,
            "prompt_tokens": 32746,
            "raw_reasoning": "The user is asking me to return only the canonical ORCHID marker, ignoring the numbered archives.\n\nLooking through the reference document, I can find the key information:\n\n- Archive ORCHID-001 stores K434177192288.\n- Archive ORCHID-002 stores K503557252183.\n- The canonical ORCHID marker is K557508437185.\n\nThe question asks to return only the canonical ORCHID marker, ignoring the numbered archives (ORCHID-001, ORCHID-002).\n\nSo the answer is K557508437185.\n",
            "raw_reasoning_field": "reasoning_content",
            "raw_reasoning_truncated": false,
            "requested_tokens": 32768,
            "schema": "anvil-serving.context-observation/v1",
            "target_count": 1,
            "throughput_tps": 12.169078158028405,
            "token_measurement": "usage",
            "visible_answer": "K557508437185",
            "visible_answer_truncated": false
          }
        ],
        "throughput_tps": {
          "available": true,
          "mean": 10.203891156971446,
          "observations": [
            7.536035660867194,
            8.755106028840027,
            10.497374036835469,
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      },
      {
        "completed_count": 6,
        "completion_rate": 1.0,
        "engine_telemetry": {
          "available": false,
          "observations": []
        },
        "failures": {},
        "latency_ms": {
          "available": true,
          "mean": 165644.75458098846,
          "observations": [
            162166.52966599213,
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            167953.43616901664,
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        },
        "meets_policy": true,
        "pass_rate": 1.0,
        "passed_count": 6,
        "relative_drop_from_baseline": 0.0,
        "requested_tokens": 257000,
        "sample_count": 6,
        "samples": [
          {
            "answer_sha256": "165c06e1078f0d23d51237f55fdf201897c11ab1ba6b89b4be0058e8551485db",
            "case_id": "native-needle-257000-0.100-r0",
            "case_type": "native-needle",
            "completed": true,
            "distractor_count": 0,
            "engine_telemetry": null,
            "failure": null,
            "finish_reason": "stop",
            "latency_ms": 162166.52966599213,
            "passed": true,
            "position": 0.1,
            "prompt_tokens": 256836,
            "raw_reasoning": "The user is asking me to return only the access marker for ORCHID. Looking through the reference document, I can see that embedded within the repetitive text (all \"neutral cobalt ledger material for calibration\"), there is one line that states:\n\n\"The access marker for ORCHID is K557508437185.\"\n\nThis appears between Reference paragraph 0001283 and Reference paragraph 0001284.\n\nThe answer is K557508437185.\n",
            "raw_reasoning_field": "reasoning_content",
            "raw_reasoning_truncated": false,
            "requested_tokens": 257000,
            "schema": "anvil-serving.context-observation/v1",
            "target_count": 1,
            "throughput_tps": 0.8201445777617289,
            "token_measurement": "usage",
            "visible_answer": "K557508437185",
            "visible_answer_truncated": false
          },
          {
            "answer_sha256": "165c06e1078f0d23d51237f55fdf201897c11ab1ba6b89b4be0058e8551485db",
            "case_id": "native-needle-257000-0.900-r0",
            "case_type": "native-needle",
            "completed": true,
            "distractor_count": 0,
            "engine_telemetry": null,
            "failure": null,
            "finish_reason": "stop",
            "latency_ms": 164142.11729395902,
            "passed": true,
            "position": 0.9,
            "prompt_tokens": 256836,
            "raw_reasoning": "The user is asking me to return the access marker for ORCHID. Let me search through the reference document for any mention of \"ORCHID\" and an associated access marker.\n\nI found it: \"The access marker for ORCHID is K557508437185.\"\n",
            "raw_reasoning_field": "reasoning_content",
            "raw_reasoning_truncated": false,
            "requested_tokens": 257000,
            "schema": "anvil-serving.context-observation/v1",
            "target_count": 1,
            "throughput_tps": 0.49956709071290795,
            "token_measurement": "usage",
            "visible_answer": "K557508437185",
            "visible_answer_truncated": false
          },
          {
            "answer_sha256": "ea77d2c40d5ae22b614345bf65faaf4a798b6926e2753eaa34d64261ffa8f4cb",
            "case_id": "native-order-257000-0.100-r0",
            "case_type": "native-order",
            "completed": true,
            "distractor_count": 0,
            "engine_telemetry": null,
            "failure": null,
            "finish_reason": "stop",
            "latency_ms": 167953.43616901664,
            "passed": true,
            "position": 0.1,
            "prompt_tokens": 256860,
            "raw_reasoning": "The user is asking me to find the ALPHA, BETA, and GAMMA checkpoint values from the reference document and return them in that order, separated by ' | '.\n\nLet me search through the reference paragraphs to find these checkpoint values.\n\nFrom the document, I can find:\n- Checkpoint ALPHA stores K557508437185.\n- Checkpoint BETA stores K434177192288.\n- Checkpoint GAMMA stores K503557252183.\n\nThese appear after reference paragraph 0001283.\n\nSo the answer should be: K557508437185 | K434177192288 | K503557252183\n",
            "raw_reasoning_field": "reasoning_content",
            "raw_reasoning_truncated": false,
            "requested_tokens": 257000,
            "schema": "anvil-serving.context-observation/v1",
            "target_count": 3,
            "throughput_tps": 1.3515650836197421,
            "token_measurement": "usage",
            "visible_answer": "K557508437185 | K434177192288 | K503557252183",
            "visible_answer_truncated": false
          },
          {
            "answer_sha256": "ea77d2c40d5ae22b614345bf65faaf4a798b6926e2753eaa34d64261ffa8f4cb",
            "case_id": "native-order-257000-0.900-r0",
            "case_type": "native-order",
            "completed": true,
            "distractor_count": 0,
            "engine_telemetry": null,
            "failure": null,
            "finish_reason": "stop",
            "latency_ms": 165742.01738397824,
            "passed": true,
            "position": 0.9,
            "prompt_tokens": 256860,
            "raw_reasoning": "The user is asking me to find the checkpoint values from the reference document. Let me look for the checkpoint entries in the document.\n\nI can see these specific lines in the document:\n\nCheckpoint ALPHA stores K557508437185.\nCheckpoint BETA stores K434177192288.\nCheckpoint GAMMA stores K503557252183.\n\nSo the answer should be these three values separated by ' | '.\n",
            "raw_reasoning_field": "reasoning_content",
            "raw_reasoning_truncated": false,
            "requested_tokens": 257000,
            "schema": "anvil-serving.context-observation/v1",
            "target_count": 3,
            "throughput_tps": 0.9170879080580888,
            "token_measurement": "usage",
            "visible_answer": "K557508437185 | K434177192288 | K503557252183",
            "visible_answer_truncated": false
          },
          {
            "answer_sha256": "165c06e1078f0d23d51237f55fdf201897c11ab1ba6b89b4be0058e8551485db",
            "case_id": "native-distractor-257000-0.100-r0",
            "case_type": "native-distractor",
            "completed": true,
            "distractor_count": 2,
            "engine_telemetry": null,
            "failure": null,
            "finish_reason": "stop",
            "latency_ms": 166883.74469499104,
            "passed": true,
            "position": 0.1,
            "prompt_tokens": 256866,
            "raw_reasoning": "The user is asking me to return the canonical ORCHID marker from the reference document. Let me look through the document for the relevant information.\n\nIn the reference document, I can find these specific lines among the many repetitive \"neutral cobalt ledger material for calibration\" paragraphs:\n\n- Archive ORCHID-001 stores K434177192288.\n- Archive ORCHID-002 stores K503557252183.\n- The canonical ORCHID marker is K557508437185.\n\nThe question asks for the canonical ORCHID marker, ignoring numbered archives. The canonical marker is explicitly stated as K557508437185.\n",
            "raw_reasoning_field": "reasoning_content",
            "raw_reasoning_truncated": false,
            "requested_tokens": 257000,
            "schema": "anvil-serving.context-observation/v1",
            "target_count": 1,
            "throughput_tps": 1.096571750199303,
            "token_measurement": "usage",
            "visible_answer": "K557508437185",
            "visible_answer_truncated": false
          },
          {
            "answer_sha256": "165c06e1078f0d23d51237f55fdf201897c11ab1ba6b89b4be0058e8551485db",
            "case_id": "native-distractor-257000-0.900-r0",
            "case_type": "native-distractor",
            "completed": true,
            "distractor_count": 2,
            "engine_telemetry": null,
            "failure": null,
            "finish_reason": "stop",
            "latency_ms": 166980.68227799376,
            "passed": true,
            "position": 0.9,
            "prompt_tokens": 256866,
            "raw_reasoning": "The user is asking me to identify the canonical ORCHID marker from the reference document, ignoring numbered archives.\n\nLooking through the reference document, I can see three key pieces of information embedded among the repetitive \"neutral cobalt ledger material for calibration\" paragraphs:\n\n1. Archive ORCHID-001 stores K434177192288.\n2. Archive ORCHID-002 stores K503557252183.\n3. The canonical ORCHID marker is K557508437185.\n\nThe question asks me to return only the canonical ORCHID marker, ignoring numbered archives (i.e., ignoring ORCHID-001 and ORCHID-002). The canonical marker is explicitly stated as K557508437185.\n",
            "raw_reasoning_field": "reasoning_content",
            "raw_reasoning_truncated": false,
            "requested_tokens": 257000,
            "schema": "anvil-serving.context-observation/v1",
            "target_count": 1,
            "throughput_tps": 1.227686922842432,
            "token_measurement": "usage",
            "visible_answer": "K557508437185",
            "visible_answer_truncated": false
          }
        ],
        "throughput_tps": {
          "available": true,
          "mean": 0.9854372221990338,
          "observations": [
            0.8201445777617289,
            0.49956709071290795,
            1.3515650836197421,
            0.9170879080580888,
            1.096571750199303,
            1.227686922842432
          ]
        }
      }
    ],
    "effective_context": 257000,
    "first_material_degradation": null,
    "notes": [
      "effective_context uses attempted buckets only",
      "missing engine telemetry is unavailable and is not inferred from latency"
    ],
    "schema": "anvil-serving.context-curve/v1",
    "threshold_policy": {
      "baseline_bucket": 32768,
      "baseline_pass_rate": 1.0,
      "max_relative_drop": 0.25,
      "pass_rate_floor": 0.75
    }
  },
  "observations": [
    {
      "answer_sha256": "165c06e1078f0d23d51237f55fdf201897c11ab1ba6b89b4be0058e8551485db",
      "case_id": "native-needle-32768-0.100-r0",
      "case_type": "native-needle",
      "completed": true,
      "distractor_count": 0,
      "engine_telemetry": null,
      "failure": null,
      "finish_reason": "stop",
      "latency_ms": 13402.272036008071,
      "passed": true,
      "position": 0.1,
      "prompt_tokens": 32716,
      "raw_reasoning": "The user is asking me to find the access marker for ORCHID in the reference document. Let me search through the paragraphs to find it.\n\nI found it in Reference paragraph 0000162: \"The access marker for ORCHID is K557508437185.\"\n\nThe question asks me to return only the access marker for ORCHID.\n",
      "raw_reasoning_field": "reasoning_content",
      "raw_reasoning_truncated": false,
      "requested_tokens": 32768,
      "schema": "anvil-serving.context-observation/v1",
      "target_count": 1,
      "throughput_tps": 7.536035660867194,
      "token_measurement": "usage",
      "visible_answer": "K557508437185",
      "visible_answer_truncated": false
    },
    {
      "answer_sha256": "165c06e1078f0d23d51237f55fdf201897c11ab1ba6b89b4be0058e8551485db",
      "case_id": "native-needle-32768-0.900-r0",
      "case_type": "native-needle",
      "completed": true,
      "distractor_count": 0,
      "engine_telemetry": null,
      "failure": null,
      "finish_reason": "stop",
      "latency_ms": 13706.287462962791,
      "passed": true,
      "position": 0.9,
      "prompt_tokens": 32716,
      "raw_reasoning": "The user is asking me to return the access marker for ORCHID. Let me look through the reference paragraphs to find this information.\n\nIn the reference paragraphs, I can see the line: \"The access marker for ORCHID is K557508437185.\"\n\nThis appears between paragraphs 0001469 and 0001470.\n\nThe answer is K557508437185.\n",
      "raw_reasoning_field": "reasoning_content",
      "raw_reasoning_truncated": false,
      "requested_tokens": 32768,
      "schema": "anvil-serving.context-observation/v1",
      "target_count": 1,
      "throughput_tps": 8.755106028840027,
      "token_measurement": "usage",
      "visible_answer": "K557508437185",
      "visible_answer_truncated": false
    },
    {
      "answer_sha256": "ea77d2c40d5ae22b614345bf65faaf4a798b6926e2753eaa34d64261ffa8f4cb",
      "case_id": "native-order-32768-0.100-r0",
      "case_type": "native-order",
      "completed": true,
      "distractor_count": 0,
      "engine_telemetry": null,
      "failure": null,
      "finish_reason": "stop",
      "latency_ms": 14194.025998993311,
      "passed": true,
      "position": 0.1,
      "prompt_tokens": 32740,
      "raw_reasoning": "The user wants me to find the checkpoint values for ALPHA, BETA, and GAMMA from the reference document.\n\nFrom the document:\n- Checkpoint ALPHA stores K557508437185.\n- Checkpoint BETA stores K434177192288.\n- Checkpoint GAMMA stores K503557252183.\n\nI need to return these in order, separated by ' | '.\n",
      "raw_reasoning_field": "reasoning_content",
      "raw_reasoning_truncated": false,
      "requested_tokens": 32768,
      "schema": "anvil-serving.context-observation/v1",
      "target_count": 3,
      "throughput_tps": 10.497374036835469,
      "token_measurement": "usage",
      "visible_answer": "K557508437185 | K434177192288 | K503557252183",
      "visible_answer_truncated": false
    },
    {
      "answer_sha256": "ea77d2c40d5ae22b614345bf65faaf4a798b6926e2753eaa34d64261ffa8f4cb",
      "case_id": "native-order-32768-0.900-r0",
      "case_type": "native-order",
      "completed": true,
      "distractor_count": 0,
      "engine_telemetry": null,
      "failure": null,
      "finish_reason": "stop",
      "latency_ms": 14173.959238978568,
      "passed": true,
      "position": 0.9,
      "prompt_tokens": 32740,
      "raw_reasoning": "The user is asking me to return the ALPHA, BETA, and GAMMA checkpoint values from the reference document. Let me find them:\n\nCheckpoint ALPHA stores K557508437185.\nCheckpoint BETA stores K434177192288.\nCheckpoint GAMMA stores K503557252183.\n\nThe question asks to return them in order, separated by ' | '.\n",
      "raw_reasoning_field": "reasoning_content",
      "raw_reasoning_truncated": false,
      "requested_tokens": 32768,
      "schema": "anvil-serving.context-observation/v1",
      "target_count": 3,
      "throughput_tps": 10.159476090773435,
      "token_measurement": "usage",
      "visible_answer": "K557508437185 | K434177192288 | K503557252183",
      "visible_answer_truncated": false
    },
    {
      "answer_sha256": "165c06e1078f0d23d51237f55fdf201897c11ab1ba6b89b4be0058e8551485db",
      "case_id": "native-distractor-32768-0.100-r0",
      "case_type": "native-distractor",
      "completed": true,
      "distractor_count": 2,
      "engine_telemetry": null,
      "failure": null,
      "finish_reason": "stop",
      "latency_ms": 14620.514671027195,
      "passed": true,
      "position": 0.1,
      "prompt_tokens": 32746,
      "raw_reasoning": "The user is asking me to return only the canonical ORCHID marker from the reference document, ignoring the numbered archives.\n\nFrom the reference document, I can identify:\n- Archive ORCHID-001 stores K434177192288.\n- Archive ORCHID-002 stores K503557252183.\n- The canonical ORCHID marker is K557508437185.\n\nThe question asks for only the canonical ORCHID marker, ignoring the numbered archives (ORCHID-001 and ORCHID-002).\n\nThe canonical marker is K557508437185.\n",
      "raw_reasoning_field": "reasoning_content",
      "raw_reasoning_truncated": false,
      "requested_tokens": 32768,
      "schema": "anvil-serving.context-observation/v1",
      "target_count": 1,
      "throughput_tps": 12.106276966484142,
      "token_measurement": "usage",
      "visible_answer": "K557508437185",
      "visible_answer_truncated": false
    },
    {
      "answer_sha256": "165c06e1078f0d23d51237f55fdf201897c11ab1ba6b89b4be0058e8551485db",
      "case_id": "native-distractor-32768-0.900-r0",
      "case_type": "native-distractor",
      "completed": true,
      "distractor_count": 2,
      "engine_telemetry": null,
      "failure": null,
      "finish_reason": "stop",
      "latency_ms": 14627.237798005808,
      "passed": true,
      "position": 0.9,
      "prompt_tokens": 32746,
      "raw_reasoning": "The user is asking me to return only the canonical ORCHID marker, ignoring the numbered archives.\n\nLooking through the reference document, I can find the key information:\n\n- Archive ORCHID-001 stores K434177192288.\n- Archive ORCHID-002 stores K503557252183.\n- The canonical ORCHID marker is K557508437185.\n\nThe question asks to return only the canonical ORCHID marker, ignoring the numbered archives (ORCHID-001, ORCHID-002).\n\nSo the answer is K557508437185.\n",
      "raw_reasoning_field": "reasoning_content",
      "raw_reasoning_truncated": false,
      "requested_tokens": 32768,
      "schema": "anvil-serving.context-observation/v1",
      "target_count": 1,
      "throughput_tps": 12.169078158028405,
      "token_measurement": "usage",
      "visible_answer": "K557508437185",
      "visible_answer_truncated": false
    },
    {
      "answer_sha256": "165c06e1078f0d23d51237f55fdf201897c11ab1ba6b89b4be0058e8551485db",
      "case_id": "native-needle-257000-0.100-r0",
      "case_type": "native-needle",
      "completed": true,
      "distractor_count": 0,
      "engine_telemetry": null,
      "failure": null,
      "finish_reason": "stop",
      "latency_ms": 162166.52966599213,
      "passed": true,
      "position": 0.1,
      "prompt_tokens": 256836,
      "raw_reasoning": "The user is asking me to return only the access marker for ORCHID. Looking through the reference document, I can see that embedded within the repetitive text (all \"neutral cobalt ledger material for calibration\"), there is one line that states:\n\n\"The access marker for ORCHID is K557508437185.\"\n\nThis appears between Reference paragraph 0001283 and Reference paragraph 0001284.\n\nThe answer is K557508437185.\n",
      "raw_reasoning_field": "reasoning_content",
      "raw_reasoning_truncated": false,
      "requested_tokens": 257000,
      "schema": "anvil-serving.context-observation/v1",
      "target_count": 1,
      "throughput_tps": 0.8201445777617289,
      "token_measurement": "usage",
      "visible_answer": "K557508437185",
      "visible_answer_truncated": false
    },
    {
      "answer_sha256": "165c06e1078f0d23d51237f55fdf201897c11ab1ba6b89b4be0058e8551485db",
      "case_id": "native-needle-257000-0.900-r0",
      "case_type": "native-needle",
      "completed": true,
      "distractor_count": 0,
      "engine_telemetry": null,
      "failure": null,
      "finish_reason": "stop",
      "latency_ms": 164142.11729395902,
      "passed": true,
      "position": 0.9,
      "prompt_tokens": 256836,
      "raw_reasoning": "The user is asking me to return the access marker for ORCHID. Let me search through the reference document for any mention of \"ORCHID\" and an associated access marker.\n\nI found it: \"The access marker for ORCHID is K557508437185.\"\n",
      "raw_reasoning_field": "reasoning_content",
      "raw_reasoning_truncated": false,
      "requested_tokens": 257000,
      "schema": "anvil-serving.context-observation/v1",
      "target_count": 1,
      "throughput_tps": 0.49956709071290795,
      "token_measurement": "usage",
      "visible_answer": "K557508437185",
      "visible_answer_truncated": false
    },
    {
      "answer_sha256": "ea77d2c40d5ae22b614345bf65faaf4a798b6926e2753eaa34d64261ffa8f4cb",
      "case_id": "native-order-257000-0.100-r0",
      "case_type": "native-order",
      "completed": true,
      "distractor_count": 0,
      "engine_telemetry": null,
      "failure": null,
      "finish_reason": "stop",
      "latency_ms": 167953.43616901664,
      "passed": true,
      "position": 0.1,
      "prompt_tokens": 256860,
      "raw_reasoning": "The user is asking me to find the ALPHA, BETA, and GAMMA checkpoint values from the reference document and return them in that order, separated by ' | '.\n\nLet me search through the reference paragraphs to find these checkpoint values.\n\nFrom the document, I can find:\n- Checkpoint ALPHA stores K557508437185.\n- Checkpoint BETA stores K434177192288.\n- Checkpoint GAMMA stores K503557252183.\n\nThese appear after reference paragraph 0001283.\n\nSo the answer should be: K557508437185 | K434177192288 | K503557252183\n",
      "raw_reasoning_field": "reasoning_content",
      "raw_reasoning_truncated": false,
      "requested_tokens": 257000,
      "schema": "anvil-serving.context-observation/v1",
      "target_count": 3,
      "throughput_tps": 1.3515650836197421,
      "token_measurement": "usage",
      "visible_answer": "K557508437185 | K434177192288 | K503557252183",
      "visible_answer_truncated": false
    },
    {
      "answer_sha256": "ea77d2c40d5ae22b614345bf65faaf4a798b6926e2753eaa34d64261ffa8f4cb",
      "case_id": "native-order-257000-0.900-r0",
      "case_type": "native-order",
      "completed": true,
      "distractor_count": 0,
      "engine_telemetry": null,
      "failure": null,
      "finish_reason": "stop",
      "latency_ms": 165742.01738397824,
      "passed": true,
      "position": 0.9,
      "prompt_tokens": 256860,
      "raw_reasoning": "The user is asking me to find the checkpoint values from the reference document. Let me look for the checkpoint entries in the document.\n\nI can see these specific lines in the document:\n\nCheckpoint ALPHA stores K557508437185.\nCheckpoint BETA stores K434177192288.\nCheckpoint GAMMA stores K503557252183.\n\nSo the answer should be these three values separated by ' | '.\n",
      "raw_reasoning_field": "reasoning_content",
      "raw_reasoning_truncated": false,
      "requested_tokens": 257000,
      "schema": "anvil-serving.context-observation/v1",
      "target_count": 3,
      "throughput_tps": 0.9170879080580888,
      "token_measurement": "usage",
      "visible_answer": "K557508437185 | K434177192288 | K503557252183",
      "visible_answer_truncated": false
    },
    {
      "answer_sha256": "165c06e1078f0d23d51237f55fdf201897c11ab1ba6b89b4be0058e8551485db",
      "case_id": "native-distractor-257000-0.100-r0",
      "case_type": "native-distractor",
      "completed": true,
      "distractor_count": 2,
      "engine_telemetry": null,
      "failure": null,
      "finish_reason": "stop",
      "latency_ms": 166883.74469499104,
      "passed": true,
      "position": 0.1,
      "prompt_tokens": 256866,
      "raw_reasoning": "The user is asking me to return the canonical ORCHID marker from the reference document. Let me look through the document for the relevant information.\n\nIn the reference document, I can find these specific lines among the many repetitive \"neutral cobalt ledger material for calibration\" paragraphs:\n\n- Archive ORCHID-001 stores K434177192288.\n- Archive ORCHID-002 stores K503557252183.\n- The canonical ORCHID marker is K557508437185.\n\nThe question asks for the canonical ORCHID marker, ignoring numbered archives. The canonical marker is explicitly stated as K557508437185.\n",
      "raw_reasoning_field": "reasoning_content",
      "raw_reasoning_truncated": false,
      "requested_tokens": 257000,
      "schema": "anvil-serving.context-observation/v1",
      "target_count": 1,
      "throughput_tps": 1.096571750199303,
      "token_measurement": "usage",
      "visible_answer": "K557508437185",
      "visible_answer_truncated": false
    },
    {
      "answer_sha256": "165c06e1078f0d23d51237f55fdf201897c11ab1ba6b89b4be0058e8551485db",
      "case_id": "native-distractor-257000-0.900-r0",
      "case_type": "native-distractor",
      "completed": true,
      "distractor_count": 2,
      "engine_telemetry": null,
      "failure": null,
      "finish_reason": "stop",
      "latency_ms": 166980.68227799376,
      "passed": true,
      "position": 0.9,
      "prompt_tokens": 256866,
      "raw_reasoning": "The user is asking me to identify the canonical ORCHID marker from the reference document, ignoring numbered archives.\n\nLooking through the reference document, I can see three key pieces of information embedded among the repetitive \"neutral cobalt ledger material for calibration\" paragraphs:\n\n1. Archive ORCHID-001 stores K434177192288.\n2. Archive ORCHID-002 stores K503557252183.\n3. The canonical ORCHID marker is K557508437185.\n\nThe question asks me to return only the canonical ORCHID marker, ignoring numbered archives (i.e., ignoring ORCHID-001 and ORCHID-002). The canonical marker is explicitly stated as K557508437185.\n",
      "raw_reasoning_field": "reasoning_content",
      "raw_reasoning_truncated": false,
      "requested_tokens": 257000,
      "schema": "anvil-serving.context-observation/v1",
      "target_count": 1,
      "throughput_tps": 1.227686922842432,
      "token_measurement": "usage",
      "visible_answer": "K557508437185",
      "visible_answer_truncated": false
    }
  ],
  "passed": true,
  "request_controls": {
    "chat_template_kwargs": null,
    "reasoning_effort": null,
    "sampling": {
      "temperature": {
        "effective_request": 1.0,
        "requested": 1.0,
        "sent": true
      },
      "top_p": {
        "effective_request": 0.95,
        "requested": 0.95,
        "sent": true
      }
    },
    "thinking_mode": "default"
  },
  "request_ids": [],
  "schema": "anvil-serving.context-suite-run/v1",
  "selection": {
    "case_ids": [
      "native-needle",
      "native-order",
      "native-distractor"
    ],
    "output_headroom_tokens": 65536,
    "positions": [
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      0.9
    ],
    "repetitions": 1,
    "token_buckets": [
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      257000
    ]
  }
}