proxybrowser

capture #102

Request (redacted)

POST /api/v1/chat/completions HTTP/1.1
Accept-Encoding: identity
Content-Length: 10186
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 2 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 Seafood 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 [read]\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. [read]\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 [read]\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:I7XU3gQb0dX2_uDnoN4aWFGld4p0Qa7vgQYdThjUBuY] Surveillance of SARS-CoV-2 at the Huanan Seafood Market.\n    Infections with novel human coronavirus 2019 (HCoV-19) 1,2 , named as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) by the International Committee on Taxonomy of Viruses (ICTV) 3 , can result in coronavirus disease 2019 (COVID-19), characterized by various clinical outcomes from asymptomatic infections to severe pneumonia and even death 4, 5 . Globally, as of Feb 28 th 2023, over 758 million confirmed cases and over 6.8 million deaths have been reported (covid19.who.int). Human cases with COVID-19 were first reported in late December 2019, in Wuhan, China, as pneumonia of unknown etiology (PUE). A majority of these early cases were found to be linked to the Huanan Seafood Market (HSM) in Wuhan 4, 6 , where various animal meats, exotic seafood and live animals were available for purchase. The HSM has been suspected to be the source of the COVID-19 pandemic 7 . Not all of the early human cases had epidemiological links to the market 6, 8 and alternative hypotheses for the market association, for example entry of virus into the market via humans or the cold-chain, also exist. SARS-CoV-2 has high similarity with a few coronaviruses derived from bats in Asian countries in\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  [tt:2hB_6x4Opwdmb8Y5__jNLO8Ykk6JOkXPl8PeR9nZVAk] Surveillance of SARS-CoV-2 in the environment and animal samples of the Huanan Seafood Market\n    Infections with novel human coronavirus 2019 (HCoV-19) (1, 2), named as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) by International Committee on Taxonomy of Viruses (ICTV) (3) , can result in coronavirus disease 2019 , characterized by various clinical outcomes from asymptomatic infections to severe pneumonia and even death (4) (5) (6) . Globally, as of September 10th 2021, there have been 223,022,538 confirmed cases of COVID-19, including 4,602,882 deaths. No sign hints the pandemic has declined. (covid19.who.int). Early human cases with COVID-19 were first reported in late December 2019 from Wuhan, China with pneumonia of unknown etiology (PUE), and a majority of them were found to be linked to Huanan Seafood Market (HSM) in Wuhan (6, 7) , where various animal meats and exotic seafoods were available for purchase. Therefore, HSM has been suspected to be the source of the COVID-19 pandemic (8) . However, the possibility that some individuals outside the market had brought the virus into the market through human-to-human transmission or cold chain could not be ruled out, considering some of the early cases without epidemiological link to the market (7, 9) . In add\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    Identification of the direct zoonotic origin (intermediate host) of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is important for combating the coronavirus disease 2019 (COVID-19) pandemic [1, 2] . It has become well accepted that SARS-CoV-2 was likely to originate naturally from bats soon after its outbreak, built on the fact that SARS-CoV-2 shares a 96.2% nucleotide sequence identity with the bat coronavirus (CoV) RaTG13 isolated from Rhinolophus affinis [3] and that natural insertions were identified at the S1/S2 cleavage site of the Spike (S) protein of RmYN02-CoV isolated from Rhinolophus malayanus [4] . However, it remains unknown how the related CoV was transmitted from bats to humans. In vitro experiments suggest that RaTG13 also binds to human ACE2 (hACE2) and can use hACE2 as an entry receptor [5] ; thus, it could be possible that a progenitor of SARS-CoV-2, e.g. RaTG13 or RaTG13-like CoV, infected humans and evolved during human-to-human transmission [6] . However, recent experiments show that the binding efficiency of RaTG13 to hACE2 is quite low [7] , probably due to the lack of critical hACE2-binding residues. Besides, no evidence has shown that RaTG13\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 02:10:20 GMT
Content-Type: application/json
Transfer-Encoding: chunked
Connection: keep-alive
Server-Timing: cfEdge;dur=6,cfOrigin;dur=0,cfWorker;dur=1261
Access-Control-Allow-Origin: *
X-Generation-Id: gen-1784513418-mHfMRMbySkUqQ3PL4TOm
access-control-expose-headers: X-Generation-Id,X-Provider-Name,cf-ray
set-cookie: <redacted sha256:d7ea0c7cc8fb>
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: a1de6dc3387d42b8-EWR

{
  "id": "gen-1784513418-mHfMRMbySkUqQ3PL4TOm",
  "object": "chat.completion",
  "created": 1784513418,
  "model": "z-ai/glm-4.6",
  "provider": "AtlasCloud",
  "system_fingerprint": null,
  "service_tier": null,
  "choices": [
    {
      "index": 0,
      "logprobs": null,
      "finish_reason": "stop",
      "native_finish_reason": "stop",
      "message": {
        "role": "assistant",
        "content": "{\"read\": \"tt:5Av3q_Yyc2jvYadPTn2w3vgwMPBgyaT4N27DtBCwiSc\"}",
        "refusal": null,
        "reasoning": "I need to build an evidence-grounded argument for whether SARS-CoV-2 most likely originated from a zoonotic spillover at the Huanan Seafood Market. I have already read 4 papers and have 2 reads left.\n\nLet me analyze what I've read so far:\n\n1. \"Surveillance of SARS-CoV-2 at the Huanan Seafood Market\" (tt:I7XU3gQb0dX2_uDnoN4aWFGld4p0Qa7vgQYdThjUBuY)\n   - This paper mentions that early COVID-19 cases were linked to the Huanan Seafood Market\n   - It notes that not all early cases had epidemiological links to the market\n   - It mentions alternative hypotheses like the virus entering the market via humans or cold-chain\n   - It notes the high similarity between SARS-CoV-2 and bat coronaviruses\n\n2. \"An updated dataset of early SARS-CoV-2 diversity supports a wildlife market origin\" (tt:9bwwBcR6pLqwS-vOsvt1T1LHo7MSK93Islk_6HhOsq8)\n   - This paper strongly supports the wildlife market origin hypothesis\n   - It mentions that spatiotemporal epidemiological data distinguished the area near the market as the epicenter\n   - It states that sequencing of environmental samples placed all known genomic diversity of SARS-CoV-2 in a small section of the market\n   - It mentions a stall containing nucleic acid from both SARS-CoV-2 and animals capable of transmission\n\n3. \"Surveillance of SARS-CoV-2 in the environment and animal samples of the Huanan Seafood Market\" (tt:2hB_6x4Opwdmb8Y5__jNLO8Ykk6JOkXPl8PeR9nZVAk)\n   - Similar to the first paper, it mentions early cases were linked to the market\n   - It acknowledges the possibility that some individuals outside the market brought the virus in\n\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)\n   - This paper discusses the likely natural origin from bats\n   - It mentions the 96.2% nucleotide sequence identity with bat coronavirus RaTG13\n   - It notes that RaTG13's binding efficiency to human ACE2 is quite low\n   - It discusses the unknown transmission pathway from bats to humans\n\nBased on these papers, I have some evidence supporting the zoonotic spillover at the Huanan Market hypothesis, particularly from paper #2. However, I need more specific evidence about the market itself and potential intermediate animals.\n\nLet me look at the remaining papers to decide which ones would be most valuable to read:\n\n1. \"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)\n   - This could provide important information about bat coronaviruses similar to SARS-CoV-2\n\n2. \"Preventing zoonotic spillover through regulatory frameworks governing wildlife trade: A scoping review\" (tt:3fll7ADMY3qqEiXBhLlIqettexRRrUsCbdY-autKpGg)\n   - This might provide context about wildlife trade and zoonotic spillover risks\n\n3. \"Wildlife trade drives animal-to-human pathogen transmission over 40 years\" (tt:1NAhHBQ5-1QR-2CMGNmzgekIrygu_MAKdCyjF4f7xr8)\n   - This could provide evidence about wildlife trade as a driver of zoonotic transmission\n\n4. \"Exposure to diverse sarbecoviruses indicates frequent zoonotic spillover in human communities interacting with wildlife\" (tt:N5kM9nvS35RQkwUUm6-1979ygsqocAKzAFyw7lcFLVA)\n   - This could provide evidence about the frequency of zoonotic spillover events\n\nGiven my remaining 2 reads, I think the most valuable papers to read would be:\n1. \"Coronaviruses with a SARS-CoV-2-like receptor-binding domain allowing ACE2-mediated entry into human cells isolated from bats of Indochinese peninsula\" - to understand the natural reservoir and potential for direct transmission\n2. \"Wildlife trade drives animal-to-human pathogen transmission over 40 years\" - to understand the role of wildlife trade in zoonotic spillover\n\nLet me read these two papers to strengthen my argument.",
        "reasoning_details": [
          {
            "type": "reasoning.text",
            "text": "I need to build an evidence-grounded argument for whether SARS-CoV-2 most likely originated from a zoonotic spillover at the Huanan Seafood Market. I have already read 4 papers and have 2 reads left.\n\nLet me analyze what I've read so far:\n\n1. \"Surveillance of SARS-CoV-2 at the Huanan Seafood Market\" (tt:I7XU3gQb0dX2_uDnoN4aWFGld4p0Qa7vgQYdThjUBuY)\n   - This paper mentions that early COVID-19 cases were linked to the Huanan Seafood Market\n   - It notes that not all early cases had epidemiological links to the market\n   - It mentions alternative hypotheses like the virus entering the market via humans or cold-chain\n   - It notes the high similarity between SARS-CoV-2 and bat coronaviruses\n\n2. \"An updated dataset of early SARS-CoV-2 diversity supports a wildlife market origin\" (tt:9bwwBcR6pLqwS-vOsvt1T1LHo7MSK93Islk_6HhOsq8)\n   - This paper strongly supports the wildlife market origin hypothesis\n   - It mentions that spatiotemporal epidemiological data distinguished the area near the market as the epicenter\n   - It states that sequencing of environmental samples placed all known genomic diversity of SARS-CoV-2 in a small section of the market\n   - It mentions a stall containing nucleic acid from both SARS-CoV-2 and animals capable of transmission\n\n3. \"Surveillance of SARS-CoV-2 in the environment and animal samples of the Huanan Seafood Market\" (tt:2hB_6x4Opwdmb8Y5__jNLO8Ykk6JOkXPl8PeR9nZVAk)\n   - Similar to the first paper, it mentions early cases were linked to the market\n   - It acknowledges the possibility that some individuals outside the market brought the virus in\n\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)\n   - This paper discusses the likely natural origin from bats\n   - It mentions the 96.2% nucleotide sequence identity with bat coronavirus RaTG13\n   - It notes that RaTG13's binding efficiency to human ACE2 is quite low\n   - It discusses the unknown transmission pathway from bats to humans\n\nBased on these papers, I have some evidence supporting the zoonotic spillover at the Huanan Market hypothesis, particularly from paper #2. However, I need more specific evidence about the market itself and potential intermediate animals.\n\nLet me look at the remaining papers to decide which ones would be most valuable to read:\n\n1. \"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)\n   - This could provide important information about bat coronaviruses similar to SARS-CoV-2\n\n2. \"Preventing zoonotic spillover through regulatory frameworks governing wildlife trade: A scoping review\" (tt:3fll7ADMY3qqEiXBhLlIqettexRRrUsCbdY-autKpGg)\n   - This might provide context about wildlife trade and zoonotic spillover risks\n\n3. \"Wildlife trade drives animal-to-human pathogen transmission over 40 years\" (tt:1NAhHBQ5-1QR-2CMGNmzgekIrygu_MAKdCyjF4f7xr8)\n   - This could provide evidence about wildlife trade as a driver of zoonotic transmission\n\n4. \"Exposure to diverse sarbecoviruses indicates frequent zoonotic spillover in human communities interacting with wildlife\" (tt:N5kM9nvS35RQkwUUm6-1979ygsqocAKzAFyw7lcFLVA)\n   - This could provide evidence about the frequency of zoonotic spillover events\n\nGiven my remaining 2 reads, I think the most valuable papers to read would be:\n1. \"Coronaviruses with a SARS-CoV-2-like receptor-binding domain allowing ACE2-mediated entry into human cells isolated from bats of Indochinese peninsula\" - to understand the natural reservoir and potential for direct transmission\n2. \"Wildlife trade drives animal-to-human pathogen transmission over 40 years\" - to understand the role of wildlife trade in zoonotic spillover\n\nLet me read these two papers to strengthen my argument.",
            "format": "unknown",
            "index": 0
          }
        ]
      }
    }
  ],
  "usage": {
    "prompt_tokens": 3113,
    "completion_tokens": 1107,
    "total_tokens": 4220,
    "cost": 0.0043032,
    "is_byok": false,
    "prompt_tokens_details": {
      "cached_tokens": 0,
      "cache_write_tokens": 0,
      "audio_tokens": 0,
      "video_tokens": 0
    },
    "cost_details": {
      "upstream_inference_cost": 0.0043032,
      "upstream_inference_prompt_cost": 0.0018678,
      "upstream_inference_completions_cost": 0.0024354
    },
    "completion_tokens_details": {
      "reasoning_tokens": 1066,
      "image_tokens": 0,
      "audio_tokens": 0
    }
  }
}