proxybrowser

capture #84

Request (redacted)

POST /api/v1/chat/completions HTTP/1.1
Accept-Encoding: identity
Content-Length: 6105
Host: openrouter.ai
Content-Type: application/json
Authorization: <redacted sha256:7b7452fd372a>
Http-Referer: <omitted: stack implementation detail>
X-Title: <omitted: stack implementation detail>
User-Agent: <omitted: stack implementation detail>
Via: <omitted: stack implementation detail>

{"model": "z-ai/glm-4.6", "messages": [{"role": "user", "content": "You are a researcher building an evidence-grounded argument for a specific brief. You may read from the shared library below. READ SELECTIVELY: choose the papers your brief most needs \u2014 you have 5 read(s) left. Base every claim ONLY on papers you have read.\n\nBRIEF: Did SARS-CoV-2 most likely originate from a zoonotic spillover at the Huanan market?\n\nSHARED LIBRARY (titles; read one to see its text):\n  tt:eeuo8_5kisxnCgnaxg6evqL-gD8vH1C-dCRj23u_Gq0  Convergent evolution of SARS-CoV-2 spike mutations, L452R, E484Q and P681R, in the second wave of COVID-19 in Maharashtra, India\n  tt:M8nnp5OldWX1j5LdL_Rsll2qnmoCwRp64AAcZeKfqKI  Engineered ACE2 receptor therapy overcomes mutational escape of SARS-CoV-2.\n  tt:fK_kWQOIBrng5YmGhqtT9uGpq7WKaDXIXPic_B9gFTE  Evolutionary and structural analyses of SARS-CoV-2 D614G spike protein mutation now documented worldwide.\n  tt:d8lw-1sCs8xMsqqg5f9qD_L8cblyLWBBVsTVOuUTyKQ  Omicron SARS-CoV-2 mutations stabilize spike up-RBD conformation and lead to a non-RBM-binding monoclonal antibody escape.\n  tt:igRl3YYUtdDTMExsTtZqjrulcvLpgMKCHuPKeaJ8-v8  Deep mutational scanning of SARS-CoV-2 receptor binding domain reveals constraints on folding and ACE2 binding\n  tt:3U-qpDnE-TSseFM4xrbRjRm2gCgk4HH5IV3HTHrcJko  Evolution at Spike protein position 519 in SARS-CoV-2 facilitated adaptation to humans.\n  tt:buS-VjbFvU_GGHRdwTWe7VrhK_eQ2HyhNMEPlJZ2BbE  Identifying zoonotic origin of SARS-CoV-2 by modeling the binding affinity between Spike receptor-binding domain and host ACE2\n  tt:i3ijL0zW8QfBEwF3cYCq2bf0a1RFBSWExVTg9dHWKPQ  Functional and structural characterization of the SARS-CoV-2 spike N481K mutation.\n  tt:pqLHqzmkQY5Alt1yRQ4a0RM_Qayrer5CptJs3o-Rtgk  Genomic surveillance of SARS-CoV-2 tracks early interstate transmission of P.1 lineage and diversification within P.2 clade in Brazil.\n  tt:xrP6pjA1h2TCJjL7STByv6WY8Gka-stONY8dYYdU6fM  Transmission, infectivity, and antibody neutralization of an emerging SARS-CoV-2 variant in California carrying a L452R spike protein mutation\n  tt:2lCSGo4XO6DMnJLYA-051WpnogJX1aOeg4IhbtcMheQ  Distinct evolution of SARS-CoV-2 Omicron XBB and BA.2.86/JN.1 lineages combining increased fitness and antibody evasion.\n  tt:5Av3q_Yyc2jvYadPTn2w3vgwMPBgyaT4N27DtBCwiSc  Coronaviruses with a SARS-CoV-2-like receptor-binding domain allowing ACE2-mediated entry into human cells isolated from bats of Indochinese peninsula\n  tt:3fll7ADMY3qqEiXBhLlIqettexRRrUsCbdY-autKpGg  Preventing zoonotic spillover through regulatory frameworks governing wildlife trade: A scoping review.\n  tt:9bwwBcR6pLqwS-vOsvt1T1LHo7MSK93Islk_6HhOsq8  An updated dataset of early SARS-CoV-2 diversity supports a wildlife market origin [read]\n  tt:I7XU3gQb0dX2_uDnoN4aWFGld4p0Qa7vgQYdThjUBuY  Surveillance of SARS-CoV-2 at the Huanan Seafood Market.\n  tt:eqZkak7mNsnVL0gKcVJh51fWC6s25x5DOGSQdqohI80  An updated dataset of early SARS-CoV-2 diversity supports a wildlife market origin\n  tt:u69895lAK3BeYzPYdCLYY__GYN8k9XNTL9kaBz9oQG0  An updated dataset of early SARS-CoV-2 diversity supports a wildlife market origin\n  tt:vpqiS1RaTHvSQqfs6cCKt0jRVEMgM8mEq3Mvd-gqW5c  An updated dataset of early SARS-CoV-2 diversity supports a wildlife market origin\n  tt:1NAhHBQ5-1QR-2CMGNmzgekIrygu_MAKdCyjF4f7xr8  Wildlife trade drives animal-to-human pathogen transmission over 40 years\n  tt:mgfFgp0L95uxueR9nASX9G0Jj-T7BmaMZGW0h26kREI  Wildlife trade drives animal-to-human pathogen transmission over 40 years\n  tt:1CZC9sEW_MxKiI4kpfBSDJgHJrkoNvP4WKnj3XZ9Fww  Erratum for the Research Article \"The Huanan Seafood Wholesale Market in Wuhan was the early epicenter of the COVID-19 pandemic\" by M. Worobey <i>et al</i>.\n  tt:2hB_6x4Opwdmb8Y5__jNLO8Ykk6JOkXPl8PeR9nZVAk  Surveillance of SARS-CoV-2 in the environment and animal samples of the Huanan Seafood Market\n  tt:gMf3A9nzW5pUQ5j8ZTbnU-hV6KvpQHNtU6ARWPgxlVs  Erratum for the Research Article \"The Huanan Seafood Wholesale Market in Wuhan was the early epicenter of the COVID-19 pandemic\" by M. Worobey <i>et al</i>.\n  tt:N5kM9nvS35RQkwUUm6-1979ygsqocAKzAFyw7lcFLVA  Exposure to diverse sarbecoviruses indicates frequent zoonotic spillover in human communities interacting with wildlife.\n\nPapers you have read (quote ONLY from these):\n  [tt:9bwwBcR6pLqwS-vOsvt1T1LHo7MSK93Islk_6HhOsq8] An updated dataset of early SARS-CoV-2 diversity supports a wildlife market origin\n    The origin of SARS-CoV-2 has been the subject of intense scrutiny and speculation since the virus was first identified in Wuhan, China in late 2019. The earliest reported COVID-19 cases were associated with Wuhan's Huanan Seafood Wholesale Market [1, 2] , immediately suggesting that SARS-CoV-2 emerged from its mammalian wildlife trade [3, 4] . Subsequent evidence has consistently supported this hypothesis. Spatiotemporal epidemiological data unambiguously distinguished the area near the market as the epicenter of the outbreak [5] [6] [7] [8] . Sequencing of environmental samples placed all known genomic diversity of SARS-CoV-2 at the end of 2019 in a small section of the market [9] . A stone's throw away within the market, a stall was found to contain nucleic acid from both SARS-CoV-2 and animals capable of SARS-CoV-2 transmission [10] [11] [12] . An updated dataset of early SARS-CoV-2 diversity supports a wildlife market origin Z. Hensel & F. D\u00e9barre papers [22] [23] [24] [25] . We added 187 sequences from public databases and new assemblies from public sequencing reads. We identified published studies corresponding to many of the added sequences [26] [27] [28] [29] [30] [31] . So\n\nReply with ONE JSON object, no prose:\n  to read a paper:  {\"read\": \"<tt:...>\"}\n  to finish:        {\"conclude\": {\"argument_md\": \"<markdown>\", \"citations\": [{\"claim\": \"...\", \"tt\": \"<tt:...>\", \"quote\": \"<exact substring of a paper you read>\"}]}}\nEvery citation quote MUST be copied verbatim from a paper you have read above."}], "temperature": 0.3, "max_tokens": 8000, "provider": {"ignore": ["Novita"]}}

Response (redacted)

HTTP/1.1 200 OK
Date: Mon, 20 Jul 2026 01:14:25 GMT
Content-Type: application/json
Transfer-Encoding: chunked
Connection: keep-alive
Server-Timing: cfEdge;dur=6,cfOrigin;dur=0,cfWorker;dur=582
Access-Control-Allow-Origin: *
X-Generation-Id: gen-1784510065-JkWyb0KO3fFQnzqbzyWD
access-control-expose-headers: X-Generation-Id,X-Provider-Name,cf-ray
set-cookie: <redacted sha256:79240cf207b1>
Permissions-Policy: payment=(self "https://checkout.stripe.com" "https://connect-js.stripe.com" "https://js.stripe.com" "https://*.js.stripe.com" "https://hooks.stripe.com")
Referrer-Policy: no-referrer, strict-origin-when-cross-origin
X-Content-Type-Options: nosniff
Server: cloudflare
CF-RAY: a1de1be44905f5f8-EWR

{
  "id": "gen-1784510065-JkWyb0KO3fFQnzqbzyWD",
  "object": "chat.completion",
  "created": 1784510065,
  "model": "z-ai/glm-4.6",
  "provider": "Venice",
  "system_fingerprint": null,
  "service_tier": null,
  "choices": [
    {
      "index": 0,
      "logprobs": null,
      "finish_reason": "stop",
      "native_finish_reason": "stop",
      "message": {
        "role": "assistant",
        "content": "\n{\"read\": \"tt:I7XU3gQb0dX2_uDnoN4aWFGld4p0Qa7vgQYdThjUBuY\"}",
        "refusal": null,
        "reasoning": "\nI need to build an evidence-grounded argument about whether SARS-CoV-2 most likely originated from a zoonotic spillover at the Huanan market. I've read one paper so far:\n\n\"An updated dataset of early SARS-CoV-2 diversity supports a wildlife market origin\" (tt:9bwwBcR6pLqwS-vOsvt1T1LHo7MSK93Islk_6HhOsq8)\n\nThis paper seems to directly support the zoonotic origin hypothesis at the Huanan market. Let me analyze what evidence it provides:\n\n1. It states that \"The earliest reported COVID-19 cases were associated with Wuhan's Huanan Seafood Wholesale Market\"\n2. It suggests that \"SARS-CoV-2 emerged from its mammalian wildlife trade\"\n3. It mentions that \"Spatiotemporal epidemiological data unambiguously distinguished the area near the market as the epicenter of the outbreak\"\n4. It notes that \"Sequencing of environmental samples placed all known genomic diversity of SARS-CoV-2 at the end of 2019 in a small section of the market\"\n5. It highlights that \"a stall was found to contain nucleic acid from both SARS-CoV-2 and animals capable of SARS-CoV-2 transmission\"\n\nThis paper provides strong evidence for the zoonotic spillover hypothesis at the Huanan market. However, I should read more papers to build a comprehensive argument. Let me identify which papers would be most relevant to my brief:\n\n1. \"Surveillance of SARS-CoV-2 at the Huanan Seafood Market\" (tt:I7XU3gQb0dX2_uDnoN4aWFGld4p0Qa7vgQYdThjUBuY) - This seems directly relevant to the question\n2. \"Surveillance of SARS-CoV-2 in the environment and animal samples of the Huanan Seafood Market\" (tt:2hB_6x4Opwdmb8Y5__jNLO8Ykk6JOkXPl8PeR9nZVAk) - Also directly relevant\n3. \"Coronaviruses with a SARS-CoV-2-like receptor-binding domain allowing ACE2-mediated entry into human cells isolated from bats of Indochinese peninsula\" (tt:5Av3q_Yyc2jvYadPTn2w3vgwMPBgyaT4N27DtBCwiSc) - This could provide evidence for the zoonotic origin\n4. \"Identifying zoonotic origin of SARS-CoV-2 by modeling the binding affinity between Spike receptor-binding domain and host ACE2\" (tt:buS-VjbFvU_GGHRdwTWe7VrhK_eQ2HyhNMEPlJZ2BbE) - This seems directly relevant to zoonotic origin\n5. \"Exposure to diverse sarbecoviruses indicates frequent zoonotic spillover in human communities interacting with wildlife\" (tt:N5kM9nvS35RQkwUUm6-1979ygsqocAKzAFyw7lcFLVA) - This could provide evidence for the general zoonotic spillover mechanism\n6. \"Wildlife trade drives animal-to-human pathogen transmission over 40 years\" (tt:1NAhHBQ5-1QR-2CMGNmzgekIrygu_MAKdCyjF4f7xr8) - This could provide context for how wildlife trade facilitates zoonotic spillover\n\nI have 5 reads left, so I'll choose the most relevant papers to build a comprehensive argument. Let me start with the papers directly about the Huanan market surveillance.\n\nLet me read \"Surveillance of SARS-CoV-2 at the Huanan Seafood Market\" (tt:I7XU3gQb0dX2_uDnoN4aWFGld4p0Qa7vgQYdThjUBuY) first.",
        "reasoning_details": [
          {
            "type": "reasoning.text",
            "text": "\nI need to build an evidence-grounded argument about whether SARS-CoV-2 most likely originated from a zoonotic spillover at the Huanan market. I've read one paper so far:\n\n\"An updated dataset of early SARS-CoV-2 diversity supports a wildlife market origin\" (tt:9bwwBcR6pLqwS-vOsvt1T1LHo7MSK93Islk_6HhOsq8)\n\nThis paper seems to directly support the zoonotic origin hypothesis at the Huanan market. Let me analyze what evidence it provides:\n\n1. It states that \"The earliest reported COVID-19 cases were associated with Wuhan's Huanan Seafood Wholesale Market\"\n2. It suggests that \"SARS-CoV-2 emerged from its mammalian wildlife trade\"\n3. It mentions that \"Spatiotemporal epidemiological data unambiguously distinguished the area near the market as the epicenter of the outbreak\"\n4. It notes that \"Sequencing of environmental samples placed all known genomic diversity of SARS-CoV-2 at the end of 2019 in a small section of the market\"\n5. It highlights that \"a stall was found to contain nucleic acid from both SARS-CoV-2 and animals capable of SARS-CoV-2 transmission\"\n\nThis paper provides strong evidence for the zoonotic spillover hypothesis at the Huanan market. However, I should read more papers to build a comprehensive argument. Let me identify which papers would be most relevant to my brief:\n\n1. \"Surveillance of SARS-CoV-2 at the Huanan Seafood Market\" (tt:I7XU3gQb0dX2_uDnoN4aWFGld4p0Qa7vgQYdThjUBuY) - This seems directly relevant to the question\n2. \"Surveillance of SARS-CoV-2 in the environment and animal samples of the Huanan Seafood Market\" (tt:2hB_6x4Opwdmb8Y5__jNLO8Ykk6JOkXPl8PeR9nZVAk) - Also directly relevant\n3. \"Coronaviruses with a SARS-CoV-2-like receptor-binding domain allowing ACE2-mediated entry into human cells isolated from bats of Indochinese peninsula\" (tt:5Av3q_Yyc2jvYadPTn2w3vgwMPBgyaT4N27DtBCwiSc) - This could provide evidence for the zoonotic origin\n4. \"Identifying zoonotic origin of SARS-CoV-2 by modeling the binding affinity between Spike receptor-binding domain and host ACE2\" (tt:buS-VjbFvU_GGHRdwTWe7VrhK_eQ2HyhNMEPlJZ2BbE) - This seems directly relevant to zoonotic origin\n5. \"Exposure to diverse sarbecoviruses indicates frequent zoonotic spillover in human communities interacting with wildlife\" (tt:N5kM9nvS35RQkwUUm6-1979ygsqocAKzAFyw7lcFLVA) - This could provide evidence for the general zoonotic spillover mechanism\n6. \"Wildlife trade drives animal-to-human pathogen transmission over 40 years\" (tt:1NAhHBQ5-1QR-2CMGNmzgekIrygu_MAKdCyjF4f7xr8) - This could provide context for how wildlife trade facilitates zoonotic spillover\n\nI have 5 reads left, so I'll choose the most relevant papers to build a comprehensive argument. Let me start with the papers directly about the Huanan market surveillance.\n\nLet me read \"Surveillance of SARS-CoV-2 at the Huanan Seafood Market\" (tt:I7XU3gQb0dX2_uDnoN4aWFGld4p0Qa7vgQYdThjUBuY) first.",
            "format": "unknown",
            "index": 0
          }
        ]
      }
    }
  ],
  "usage": {
    "prompt_tokens": 2017,
    "completion_tokens": 913,
    "total_tokens": 2930,
    "cost": 0.00246506,
    "is_byok": false,
    "prompt_tokens_details": {
      "cached_tokens": 0,
      "cache_write_tokens": 0,
      "audio_tokens": 0,
      "video_tokens": 0
    },
    "cost_details": {
      "upstream_inference_cost": 0.00246506,
      "upstream_inference_prompt_cost": 0.00086731,
      "upstream_inference_completions_cost": 0.00159775
    },
    "completion_tokens_details": {
      "reasoning_tokens": 726,
      "image_tokens": 0,
      "audio_tokens": 0
    }
  }
}