[integration][auto-dig] actor failure in run 33268628425 #313

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opened 2026-09-02 17:25:37 +00:00 by nsaspy · 1 comment

nsaspy commented

2026-09-02 17:25:37 +00:00

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Auto-Dig integration failure diagnostics

Consumer: lost-rob0t/starintel-gpt-auto-dig
Workflow run: https://github.com/lost-rob0t/starintel-gpt-auto-dig/actions/runs/33268628425
Consumer head: a4b73884d1556cf8eb3bc1ec924d4dd947800733
Prolog-RLM ref: eb2411afdaf981a0a121f55b7ddf23dc9fcef812
Auto-Dig target: lost-rob0t/starintel-gpt-auto-dig#2095

Sanitized failure diagnostics

Summary: phase=native_call kind=malformed_arguments message=native call batch failed preflight model_calls=1 prompt_tokens=2812 completion_tokens=148 total_tokens=2960 cost_usd=0.00088045

Structured Prolog-RLM error

{
  "cause": {
    "detail": {
      "$term": "unexpected_fields",
      "args": [
        [
          "index"
        ]
      ]
    },
    "kind": "malformed_arguments",
    "message": "native context arguments are malformed",
    "phase": "schema"
  },
  "context_calls": 0,
  "iterations": 1,
  "kind": "malformed_arguments",
  "message": "native call batch failed preflight",
  "model_responses": [
    {
      "assistant": {
        "content": "",
        "reasoning": "**Looking into research tools**\n\nI need to answer the task at hand by inspecting the opaque input context using various tools. I'll conduct broad research then aim to fetch primary high-value information. Understanding the subject from the context is key, so I'll use the context tools available. It seems the initial input might require an alias, so I'll look into metadata and start with a head or search function as needed.",
        "reasoning_details": [
          {
            "format": "azure-openai-responses-v1",
            "index": 0,
            "summary": "**Looking into research tools**\n\nI need to answer the task at hand by inspecting the opaque input context using various tools. I'll conduct broad research then aim to fetch primary high-value information. Understanding the subject from the context is key, so I'll use the context tools available. It seems the initial input might require an alias, so I'll look into metadata and start with a head or search function as needed.",
            "type": "reasoning.summary"
          },
          {
            "data": "gAAAAABqkyZja0T4mWB-u2mtyk_lcqTf6KKBhHicLcyZab11MjJAKqhLJqRbqae1EewDyC7EMMTH9A2BIfTRgJsWXkBZ4-ZVFfghYylUnaLVAFGVtwqYxRY4YLuqVpW9VRpYwgohiGfatr4Rti3j99ELN1S9y68t3LoW5IYZMSPl6yeaaswOm2BvrxKXawOAb9KWMgNi3I8X2N72FaVgfz_SbAbGJkEv1EmLibzFKEHa1nVRfOcLQHu_1dxWCUDocS5bYwvx1Y0YvSTBFrf_lhYTrxjJ7EDT9thqdZVKtbdtK4Ge0BMTEkvy9Spl-J9ZWQ1UYG4VSDweywrgTHJVpTFAoUrzYbbBIQPqJ2Xe9VbkHP-Ev8y268kRomE7-NYwrq7M7U66asHIzTNIlfM1i7pQ1wDaK1oaFMi4UYSgAEoVcN2hvXGNB3bcxcfFDtsqagqPbJsfnQgq8IptXjVjICI-NenAvtWP5R5G2bO4RRXiJlJtirryTEpmsPcNhanDYHvF6XbsktmNmSwAJq2VQM0qnQrFQL7xpY995sfgos5uSCVBYfgO5NP8TKOW2x_-afVH9vZMnwcMYSdybAN7DdCheMtBo7S3MdrEDebAgJV6PUQ_CdBH_h1ZcebuSfFZiDROgWe7pJReQTeKHs789OCSZWPmIhMONMqRlmGv3zYeqBiC6ZjSea5AC5ZCTLqQOj-rzeCE-MROCmob_5EQ4ZLcjxjLxS9U1mDHJvDAxQwl5_XinFARoExsg241AGq2hRlO6CouF6PUf92s66UG5VHLG7I3kt2he8-gTpa58F35TyzAcCdvKHscBelKLTbutoVhO3pXEiJIMX3PctCeCqMB_Pmbu2rpu9h_-d4S7sjaAjfgTVaLIGSaZ935TS7K_POrjKQS0EhAFRmlYxXuqLn0rUIz-Afrd1HUvC7ZwJWpfpjX544swiGP9MZ5ACyEKM_gUM7VSOkiovF8o7rT0_SGUgeeCo5M1hDgsDMrpHYY9ZhTa9-nBl4el99-h88urIQbHOcFjlwgS19N4KFonEng9jTQS1hEkyjkylCJJ-Y75pJh-GmB9Q-ITRWYbORr3TrMy9j3gmkSeLJ8DCHZlVjXsbvu0OYbLz7tHvZMCOezwcX8McomXU1MuvqHI8zk9A8KX4gC66Ds3_OLUFL8puamF6c4YcHdOev3s-2dBTT1loCV3Yd8oRuu4CIZFQBFGeBtIBHhyhGsOjYoImXzmTxeKFEXtvdfPQ==.eyJlbmRwb2ludF9zbHVnIjoib3BlbmFpL2dwdC01LjYtbHVuYS0yMDI2MDcwOXxhenVyZSJ9",
            "format": "azure-openai-responses-v1",
            "id": "rs_0bc094315157fee2016a932661ee008190af44b652c1405ea0",
            "index": 1,
            "type": "reasoning.encrypted"
          }
        ],
        "role": "assistant",
        "tool_calls": [
          {
            "function": {
              "arguments": "{\"context\":\"input\",\"selector\":{\"count\":20,\"index\":0,\"type\":\"head\"}}",
              "name": "context_peek"
            },
            "id": "call_d2XROfMB4WGYDvil3gRmxNq3",
            "index": 0,
            "type": "function"
          },
          {
            "function": {
              "arguments": "{\"context\":\"input\",\"query\":\"http\"}",
              "name": "context_search"
            },
            "id": "call_rVHwqTXv3edgDnSKg5OBCTbC",
            "index": 1,
            "type": "function"
          },
          {
            "function": {
              "arguments": "{\"context\":\"input\",\"selector\":{\"count\":1,\"index\":0,\"type\":\"metadata\"}}",
              "name": "context_peek"
            },
            "id": "call_51JYAWpdX77RKcxrtbV1yRBl",
            "index": 2,
            "type": "function"
          }
        ]
      },
      "finish_reason": "tool_calls",
      "metadata": {
        "http_status": 200,
        "provider": "openrouter",
        "response_received": true
      },
      "provider": "openrouter",
      "reasoning": "**Looking into research tools**\n\nI need to answer the task at hand by inspecting the opaque input context using various tools. I'll conduct broad research then aim to fetch primary high-value information. Understanding the subject from the context is key, so I'll use the context tools available. It seems the initial input might require an alias, so I'll look into metadata and start with a head or search function as needed.",
      "reasoning_details": [
        {
          "format": "azure-openai-responses-v1",
          "index": 0,
          "summary": "**Looking into research tools**\n\nI need to answer the task at hand by inspecting the opaque input context using various tools. I'll conduct broad research then aim to fetch primary high-value information. Understanding the subject from the context is key, so I'll use the context tools available. It seems the initial input might require an alias, so I'll look into metadata and start with a head or search function as needed.",
          "type": "reasoning.summary"
        },
        {
          "data": "gAAAAABqkyZja0T4mWB-u2mtyk_lcqTf6KKBhHicLcyZab11MjJAKqhLJqRbqae1EewDyC7EMMTH9A2BIfTRgJsWXkBZ4-ZVFfghYylUnaLVAFGVtwqYxRY4YLuqVpW9VRpYwgohiGfatr4Rti3j99ELN1S9y68t3LoW5IYZMSPl6yeaaswOm2BvrxKXawOAb9KWMgNi3I8X2N72FaVgfz_SbAbGJkEv1EmLibzFKEHa1nVRfOcLQHu_1dxWCUDocS5bYwvx1Y0YvSTBFrf_lhYTrxjJ7EDT9thqdZVKtbdtK4Ge0BMTEkvy9Spl-J9ZWQ1UYG4VSDweywrgTHJVpTFAoUrzYbbBIQPqJ2Xe9VbkHP-Ev8y268kRomE7-NYwrq7M7U66asHIzTNIlfM1i7pQ1wDaK1oaFMi4UYSgAEoVcN2hvXGNB3bcxcfFDtsqagqPbJsfnQgq8IptXjVjICI-NenAvtWP5R5G2bO4RRXiJlJtirryTEpmsPcNhanDYHvF6XbsktmNmSwAJq2VQM0qnQrFQL7xpY995sfgos5uSCVBYfgO5NP8TKOW2x_-afVH9vZMnwcMYSdybAN7DdCheMtBo7S3MdrEDebAgJV6PUQ_CdBH_h1ZcebuSfFZiDROgWe7pJReQTeKHs789OCSZWPmIhMONMqRlmGv3zYeqBiC6ZjSea5AC5ZCTLqQOj-rzeCE-MROCmob_5EQ4ZLcjxjLxS9U1mDHJvDAxQwl5_XinFARoExsg241AGq2hRlO6CouF6PUf92s66UG5VHLG7I3kt2he8-gTpa58F35TyzAcCdvKHscBelKLTbutoVhO3pXEiJIMX3PctCeCqMB_Pmbu2rpu9h_-d4S7sjaAjfgTVaLIGSaZ935TS7K_POrjKQS0EhAFRmlYxXuqLn0rUIz-Afrd1HUvC7ZwJWpfpjX544swiGP9MZ5ACyEKM_gUM7VSOkiovF8o7rT0_SGUgeeCo5M1hDgsDMrpHYY9ZhTa9-nBl4el99-h88urIQbHOcFjlwgS19N4KFonEng9jTQS1hEkyjkylCJJ-Y75pJh-GmB9Q-ITRWYbORr3TrMy9j3gmkSeLJ8DCHZlVjXsbvu0OYbLz7tHvZMCOezwcX8McomXU1MuvqHI8zk9A8KX4gC66Ds3_OLUFL8puamF6c4YcHdOev3s-2dBTT1loCV3Yd8oRuu4CIZFQBFGeBtIBHhyhGsOjYoImXzmTxeKFEXtvdfPQ==.eyJlbmRwb2ludF9zbHVnIjoib3BlbmFpL2dwdC01LjYtbHVuYS0yMDI2MDcwOXxhenVyZSJ9",
          "format": "azure-openai-responses-v1",
          "id": "rs_0bc094315157fee2016a932661ee008190af44b652c1405ea0",
          "index": 1,
          "type": "reasoning.encrypted"
        }
      ],
      "requested_model": "openai/gpt-5.6-luna",
      "response_id": "gen-1788028511-MrcQg5FDAO86lAIxZq1d",
      "selected_model": "openai/gpt-5.6-luna",
      "text": "",
      "tool_calls": [
        {
          "function": {
            "arguments": "{\"context\":\"input\",\"selector\":{\"count\":20,\"index\":0,\"type\":\"head\"}}",
            "name": "context_peek"
          },
          "id": "call_d2XROfMB4WGYDvil3gRmxNq3",
          "index": 0,
          "type": "function"
        },
        {
          "function": {
            "arguments": "{\"context\":\"input\",\"query\":\"http\"}",
            "name": "context_search"
          },
          "id": "call_rVHwqTXv3edgDnSKg5OBCTbC",
          "index": 1,
          "type": "function"
        },
        {
          "function": {
            "arguments": "{\"context\":\"input\",\"selector\":{\"count\":1,\"index\":0,\"type\":\"metadata\"}}",
            "name": "context_peek"
          },
          "id": "call_51JYAWpdX77RKcxrtbV1yRBl",
          "index": 2,
          "type": "function"
        }
      ],
      "usage": {
        "completion_tokens": 148,
        "cost": 0.00088045,
        "present": true,
        "prompt_tokens": 2812,
        "total_tokens": 2960
      }
    }
  ],
  "output_bytes": 0,
  "phase": "native_call",
  "tool_calls": 0,
  "trajectory": [
    {
      "http_status": 200,
      "provider": "openrouter",
      "response_id": "gen-1788028511-MrcQg5FDAO86lAIxZq1d",
      "selected_model": "openai/gpt-5.6-luna",
      "sequence": 1,
      "type": "model",
      "usage": {
        "completion_tokens": 148,
        "cost_known": true,
        "cost_usd": 0.00088045,
        "model_calls": 1,
        "prompt_tokens": 2812,
        "tokens_known": true,
        "total_tokens": 2960
      }
    }
  ],
  "usage": {
    "completion_tokens": 148,
    "cost_known": true,
    "cost_usd": 0.00088045,
    "model_calls": 1,
    "prompt_tokens": 2812,
    "tokens_known": true,
    "total_tokens": 2960
  }
}

Sanitized traceback / stderr tail (last 160 lines)

[auto_dig_rlm] 2026-08-29T18:35:01Z phase=start mode=direct model=openai/gpt-5.6-luna reasoning_effort=max
[auto_dig_rlm] 2026-08-29T18:35:01Z phase=context_loaded chars=9433 file=agent-runs/auto-dig-prolog/2026-08-29-33268628425-1/request.md
[auto_dig_rlm] 2026-08-29T18:35:01Z phase=mcp_session_open servers=[brave,fetch]
[auto_dig_mcp] 2026-08-29T18:35:01Z session_open servers=[brave,fetch]
[auto_dig_mcp] 2026-08-29T18:35:01Z phase=registry_create state=start
[auto_dig_mcp] 2026-08-29T18:35:01Z phase=registry_create state=ok
[auto_dig_mcp] 2026-08-29T18:35:01Z phase=authority_setup state=start
[auto_dig_mcp] 2026-08-29T18:35:01Z phase=authority_setup state=ok
[auto_dig_mcp] 2026-08-29T18:35:01Z phase=mcp_run(brave) state=start
[auto_dig_mcp] 2026-08-29T18:35:01Z phase=mcp_run(brave) state=ok
[auto_dig_mcp] 2026-08-29T18:35:01Z phase=mcp_connect(brave) state=start
[auto_dig_mcp] 2026-08-29T18:35:06Z phase=mcp_connect(brave) state=ok
[auto_dig_mcp] 2026-08-29T18:35:06Z phase=mcp_import(brave) state=start
[auto_dig_mcp] 2026-08-29T18:35:06Z phase=mcp_import(brave) state=ok
[auto_dig_mcp] 2026-08-29T18:35:06Z mcp_import server=brave imported_tools=8
[auto_dig_mcp] 2026-08-29T18:35:06Z phase=mcp_run(fetch) state=start
[auto_dig_mcp] 2026-08-29T18:35:06Z phase=mcp_run(fetch) state=ok
[auto_dig_mcp] 2026-08-29T18:35:06Z phase=mcp_connect(fetch) state=start
[auto_dig_mcp] 2026-08-29T18:35:11Z phase=mcp_connect(fetch) state=ok
[auto_dig_mcp] 2026-08-29T18:35:11Z phase=mcp_import(fetch) state=start
[auto_dig_mcp] 2026-08-29T18:35:11Z phase=mcp_import(fetch) state=ok
[auto_dig_mcp] 2026-08-29T18:35:11Z mcp_import server=fetch imported_tools=6
[auto_dig_mcp] 2026-08-29T18:35:11Z phase=capability_projection state=start
[auto_dig_mcp] 2026-08-29T18:35:11Z phase=capability_projection state=ok
[auto_dig_mcp] 2026-08-29T18:35:11Z capability_projection count=14
[auto_dig_mcp] 2026-08-29T18:35:11Z session_open state=ok
[auto_dig_rlm] 2026-08-29T18:35:11Z phase=mcp_ready capability_count=14 capabilities=[tool('mcp.brave.brave_image_search'),tool('mcp.brave.brave_llm_context'),tool('mcp.brave.brave_local_search'),tool('mcp.brave.brave_news_search'),tool('mcp.brave.brave_place_search'),tool('mcp.brave.brave_summarizer'),tool('mcp.brave.brave_video_search'),tool('mcp.brave.brave_web_search'),tool('mcp.fetch.fetch_html'),tool('mcp.fetch.fetch_json'),tool('mcp.fetch.fetch_markdown'),tool('mcp.fetch.fetch_readable'),tool('mcp.fetch.fetch_txt'),tool('mcp.fetch.fetch_youtube_transcript')]
[auto_dig_rlm] 2026-08-29T18:35:11Z phase=direct_start context_window=1050000 token_budget=315000 model_calls=12 tool_calls=24 context_ops=32 iterations=24 time_limit=300.0
[auto_dig_rlm] 2026-08-29T18:35:16Z phase=direct_return
::error title=Auto-Dig Prolog-RLM failure::status=error phase=native_call kind=malformed_arguments message=native call batch failed preflight used=unknown limit=unknown model_calls=1 prompt_tokens=2812 completion_tokens=148 total_tokens=2960 cost_usd=0.00088045
[auto_dig_rlm] 2026-08-29T18:35:16Z phase=outcome status=error phase=native_call kind=malformed_arguments message=native call batch failed preflight used=unknown limit=unknown model_calls=1 prompt_tokens=2812 completion_tokens=148 total_tokens=2960 cost_usd=0.00088045
[auto_dig_rlm] 2026-08-29T18:35:16Z phase=result_written file=agent-runs/auto-dig-prolog/2026-08-29-33268628425-1/rlm-result.json
[auto_dig_rlm] 2026-08-29T18:35:16Z phase=trace_written file=agent-runs/auto-dig-prolog/2026-08-29-33268628425-1/rlm-trace.json
[auto_dig_rlm] 2026-08-29T18:35:16Z phase=finish exit_code=1

Diagnostics are sanitized at emission time. Raw environment dumps and raw provider payloads are never included in issue-bound output.

## Auto-Dig integration failure diagnostics - Consumer: `lost-rob0t/starintel-gpt-auto-dig` - Workflow run: https://github.com/lost-rob0t/starintel-gpt-auto-dig/actions/runs/33268628425 - Consumer head: `a4b73884d1556cf8eb3bc1ec924d4dd947800733` - Prolog-RLM ref: `eb2411afdaf981a0a121f55b7ddf23dc9fcef812` - Auto-Dig target: lost-rob0t/starintel-gpt-auto-dig#2095 ## Sanitized failure diagnostics **Summary:** `phase=native_call kind=malformed_arguments message=native call batch failed preflight model_calls=1 prompt_tokens=2812 completion_tokens=148 total_tokens=2960 cost_usd=0.00088045` ### Structured Prolog-RLM error ```json { "cause": { "detail": { "$term": "unexpected_fields", "args": [ [ "index" ] ] }, "kind": "malformed_arguments", "message": "native context arguments are malformed", "phase": "schema" }, "context_calls": 0, "iterations": 1, "kind": "malformed_arguments", "message": "native call batch failed preflight", "model_responses": [ { "assistant": { "content": "", "reasoning": "**Looking into research tools**\n\nI need to answer the task at hand by inspecting the opaque input context using various tools. I'll conduct broad research then aim to fetch primary high-value information. Understanding the subject from the context is key, so I'll use the context tools available. It seems the initial input might require an alias, so I'll look into metadata and start with a head or search function as needed.", "reasoning_details": [ { "format": "azure-openai-responses-v1", "index": 0, "summary": "**Looking into research tools**\n\nI need to answer the task at hand by inspecting the opaque input context using various tools. I'll conduct broad research then aim to fetch primary high-value information. Understanding the subject from the context is key, so I'll use the context tools available. It seems the initial input might require an alias, so I'll look into metadata and start with a head or search function as needed.", "type": "reasoning.summary" }, { "data": "gAAAAABqkyZja0T4mWB-u2mtyk_lcqTf6KKBhHicLcyZab11MjJAKqhLJqRbqae1EewDyC7EMMTH9A2BIfTRgJsWXkBZ4-ZVFfghYylUnaLVAFGVtwqYxRY4YLuqVpW9VRpYwgohiGfatr4Rti3j99ELN1S9y68t3LoW5IYZMSPl6yeaaswOm2BvrxKXawOAb9KWMgNi3I8X2N72FaVgfz_SbAbGJkEv1EmLibzFKEHa1nVRfOcLQHu_1dxWCUDocS5bYwvx1Y0YvSTBFrf_lhYTrxjJ7EDT9thqdZVKtbdtK4Ge0BMTEkvy9Spl-J9ZWQ1UYG4VSDweywrgTHJVpTFAoUrzYbbBIQPqJ2Xe9VbkHP-Ev8y268kRomE7-NYwrq7M7U66asHIzTNIlfM1i7pQ1wDaK1oaFMi4UYSgAEoVcN2hvXGNB3bcxcfFDtsqagqPbJsfnQgq8IptXjVjICI-NenAvtWP5R5G2bO4RRXiJlJtirryTEpmsPcNhanDYHvF6XbsktmNmSwAJq2VQM0qnQrFQL7xpY995sfgos5uSCVBYfgO5NP8TKOW2x_-afVH9vZMnwcMYSdybAN7DdCheMtBo7S3MdrEDebAgJV6PUQ_CdBH_h1ZcebuSfFZiDROgWe7pJReQTeKHs789OCSZWPmIhMONMqRlmGv3zYeqBiC6ZjSea5AC5ZCTLqQOj-rzeCE-MROCmob_5EQ4ZLcjxjLxS9U1mDHJvDAxQwl5_XinFARoExsg241AGq2hRlO6CouF6PUf92s66UG5VHLG7I3kt2he8-gTpa58F35TyzAcCdvKHscBelKLTbutoVhO3pXEiJIMX3PctCeCqMB_Pmbu2rpu9h_-d4S7sjaAjfgTVaLIGSaZ935TS7K_POrjKQS0EhAFRmlYxXuqLn0rUIz-Afrd1HUvC7ZwJWpfpjX544swiGP9MZ5ACyEKM_gUM7VSOkiovF8o7rT0_SGUgeeCo5M1hDgsDMrpHYY9ZhTa9-nBl4el99-h88urIQbHOcFjlwgS19N4KFonEng9jTQS1hEkyjkylCJJ-Y75pJh-GmB9Q-ITRWYbORr3TrMy9j3gmkSeLJ8DCHZlVjXsbvu0OYbLz7tHvZMCOezwcX8McomXU1MuvqHI8zk9A8KX4gC66Ds3_OLUFL8puamF6c4YcHdOev3s-2dBTT1loCV3Yd8oRuu4CIZFQBFGeBtIBHhyhGsOjYoImXzmTxeKFEXtvdfPQ==.eyJlbmRwb2ludF9zbHVnIjoib3BlbmFpL2dwdC01LjYtbHVuYS0yMDI2MDcwOXxhenVyZSJ9", "format": "azure-openai-responses-v1", "id": "rs_0bc094315157fee2016a932661ee008190af44b652c1405ea0", "index": 1, "type": "reasoning.encrypted" } ], "role": "assistant", "tool_calls": [ { "function": { "arguments": "{\"context\":\"input\",\"selector\":{\"count\":20,\"index\":0,\"type\":\"head\"}}", "name": "context_peek" }, "id": "call_d2XROfMB4WGYDvil3gRmxNq3", "index": 0, "type": "function" }, { "function": { "arguments": "{\"context\":\"input\",\"query\":\"http\"}", "name": "context_search" }, "id": "call_rVHwqTXv3edgDnSKg5OBCTbC", "index": 1, "type": "function" }, { "function": { "arguments": "{\"context\":\"input\",\"selector\":{\"count\":1,\"index\":0,\"type\":\"metadata\"}}", "name": "context_peek" }, "id": "call_51JYAWpdX77RKcxrtbV1yRBl", "index": 2, "type": "function" } ] }, "finish_reason": "tool_calls", "metadata": { "http_status": 200, "provider": "openrouter", "response_received": true }, "provider": "openrouter", "reasoning": "**Looking into research tools**\n\nI need to answer the task at hand by inspecting the opaque input context using various tools. I'll conduct broad research then aim to fetch primary high-value information. Understanding the subject from the context is key, so I'll use the context tools available. It seems the initial input might require an alias, so I'll look into metadata and start with a head or search function as needed.", "reasoning_details": [ { "format": "azure-openai-responses-v1", "index": 0, "summary": "**Looking into research tools**\n\nI need to answer the task at hand by inspecting the opaque input context using various tools. I'll conduct broad research then aim to fetch primary high-value information. Understanding the subject from the context is key, so I'll use the context tools available. It seems the initial input might require an alias, so I'll look into metadata and start with a head or search function as needed.", "type": "reasoning.summary" }, { "data": "gAAAAABqkyZja0T4mWB-u2mtyk_lcqTf6KKBhHicLcyZab11MjJAKqhLJqRbqae1EewDyC7EMMTH9A2BIfTRgJsWXkBZ4-ZVFfghYylUnaLVAFGVtwqYxRY4YLuqVpW9VRpYwgohiGfatr4Rti3j99ELN1S9y68t3LoW5IYZMSPl6yeaaswOm2BvrxKXawOAb9KWMgNi3I8X2N72FaVgfz_SbAbGJkEv1EmLibzFKEHa1nVRfOcLQHu_1dxWCUDocS5bYwvx1Y0YvSTBFrf_lhYTrxjJ7EDT9thqdZVKtbdtK4Ge0BMTEkvy9Spl-J9ZWQ1UYG4VSDweywrgTHJVpTFAoUrzYbbBIQPqJ2Xe9VbkHP-Ev8y268kRomE7-NYwrq7M7U66asHIzTNIlfM1i7pQ1wDaK1oaFMi4UYSgAEoVcN2hvXGNB3bcxcfFDtsqagqPbJsfnQgq8IptXjVjICI-NenAvtWP5R5G2bO4RRXiJlJtirryTEpmsPcNhanDYHvF6XbsktmNmSwAJq2VQM0qnQrFQL7xpY995sfgos5uSCVBYfgO5NP8TKOW2x_-afVH9vZMnwcMYSdybAN7DdCheMtBo7S3MdrEDebAgJV6PUQ_CdBH_h1ZcebuSfFZiDROgWe7pJReQTeKHs789OCSZWPmIhMONMqRlmGv3zYeqBiC6ZjSea5AC5ZCTLqQOj-rzeCE-MROCmob_5EQ4ZLcjxjLxS9U1mDHJvDAxQwl5_XinFARoExsg241AGq2hRlO6CouF6PUf92s66UG5VHLG7I3kt2he8-gTpa58F35TyzAcCdvKHscBelKLTbutoVhO3pXEiJIMX3PctCeCqMB_Pmbu2rpu9h_-d4S7sjaAjfgTVaLIGSaZ935TS7K_POrjKQS0EhAFRmlYxXuqLn0rUIz-Afrd1HUvC7ZwJWpfpjX544swiGP9MZ5ACyEKM_gUM7VSOkiovF8o7rT0_SGUgeeCo5M1hDgsDMrpHYY9ZhTa9-nBl4el99-h88urIQbHOcFjlwgS19N4KFonEng9jTQS1hEkyjkylCJJ-Y75pJh-GmB9Q-ITRWYbORr3TrMy9j3gmkSeLJ8DCHZlVjXsbvu0OYbLz7tHvZMCOezwcX8McomXU1MuvqHI8zk9A8KX4gC66Ds3_OLUFL8puamF6c4YcHdOev3s-2dBTT1loCV3Yd8oRuu4CIZFQBFGeBtIBHhyhGsOjYoImXzmTxeKFEXtvdfPQ==.eyJlbmRwb2ludF9zbHVnIjoib3BlbmFpL2dwdC01LjYtbHVuYS0yMDI2MDcwOXxhenVyZSJ9", "format": "azure-openai-responses-v1", "id": "rs_0bc094315157fee2016a932661ee008190af44b652c1405ea0", "index": 1, "type": "reasoning.encrypted" } ], "requested_model": "openai/gpt-5.6-luna", "response_id": "gen-1788028511-MrcQg5FDAO86lAIxZq1d", "selected_model": "openai/gpt-5.6-luna", "text": "", "tool_calls": [ { "function": { "arguments": "{\"context\":\"input\",\"selector\":{\"count\":20,\"index\":0,\"type\":\"head\"}}", "name": "context_peek" }, "id": "call_d2XROfMB4WGYDvil3gRmxNq3", "index": 0, "type": "function" }, { "function": { "arguments": "{\"context\":\"input\",\"query\":\"http\"}", "name": "context_search" }, "id": "call_rVHwqTXv3edgDnSKg5OBCTbC", "index": 1, "type": "function" }, { "function": { "arguments": "{\"context\":\"input\",\"selector\":{\"count\":1,\"index\":0,\"type\":\"metadata\"}}", "name": "context_peek" }, "id": "call_51JYAWpdX77RKcxrtbV1yRBl", "index": 2, "type": "function" } ], "usage": { "completion_tokens": 148, "cost": 0.00088045, "present": true, "prompt_tokens": 2812, "total_tokens": 2960 } } ], "output_bytes": 0, "phase": "native_call", "tool_calls": 0, "trajectory": [ { "http_status": 200, "provider": "openrouter", "response_id": "gen-1788028511-MrcQg5FDAO86lAIxZq1d", "selected_model": "openai/gpt-5.6-luna", "sequence": 1, "type": "model", "usage": { "completion_tokens": 148, "cost_known": true, "cost_usd": 0.00088045, "model_calls": 1, "prompt_tokens": 2812, "tokens_known": true, "total_tokens": 2960 } } ], "usage": { "completion_tokens": 148, "cost_known": true, "cost_usd": 0.00088045, "model_calls": 1, "prompt_tokens": 2812, "tokens_known": true, "total_tokens": 2960 } } ``` ### Sanitized traceback / stderr tail (last 160 lines) ```text [auto_dig_rlm] 2026-08-29T18:35:01Z phase=start mode=direct model=openai/gpt-5.6-luna reasoning_effort=max [auto_dig_rlm] 2026-08-29T18:35:01Z phase=context_loaded chars=9433 file=agent-runs/auto-dig-prolog/2026-08-29-33268628425-1/request.md [auto_dig_rlm] 2026-08-29T18:35:01Z phase=mcp_session_open servers=[brave,fetch] [auto_dig_mcp] 2026-08-29T18:35:01Z session_open servers=[brave,fetch] [auto_dig_mcp] 2026-08-29T18:35:01Z phase=registry_create state=start [auto_dig_mcp] 2026-08-29T18:35:01Z phase=registry_create state=ok [auto_dig_mcp] 2026-08-29T18:35:01Z phase=authority_setup state=start [auto_dig_mcp] 2026-08-29T18:35:01Z phase=authority_setup state=ok [auto_dig_mcp] 2026-08-29T18:35:01Z phase=mcp_run(brave) state=start [auto_dig_mcp] 2026-08-29T18:35:01Z phase=mcp_run(brave) state=ok [auto_dig_mcp] 2026-08-29T18:35:01Z phase=mcp_connect(brave) state=start [auto_dig_mcp] 2026-08-29T18:35:06Z phase=mcp_connect(brave) state=ok [auto_dig_mcp] 2026-08-29T18:35:06Z phase=mcp_import(brave) state=start [auto_dig_mcp] 2026-08-29T18:35:06Z phase=mcp_import(brave) state=ok [auto_dig_mcp] 2026-08-29T18:35:06Z mcp_import server=brave imported_tools=8 [auto_dig_mcp] 2026-08-29T18:35:06Z phase=mcp_run(fetch) state=start [auto_dig_mcp] 2026-08-29T18:35:06Z phase=mcp_run(fetch) state=ok [auto_dig_mcp] 2026-08-29T18:35:06Z phase=mcp_connect(fetch) state=start [auto_dig_mcp] 2026-08-29T18:35:11Z phase=mcp_connect(fetch) state=ok [auto_dig_mcp] 2026-08-29T18:35:11Z phase=mcp_import(fetch) state=start [auto_dig_mcp] 2026-08-29T18:35:11Z phase=mcp_import(fetch) state=ok [auto_dig_mcp] 2026-08-29T18:35:11Z mcp_import server=fetch imported_tools=6 [auto_dig_mcp] 2026-08-29T18:35:11Z phase=capability_projection state=start [auto_dig_mcp] 2026-08-29T18:35:11Z phase=capability_projection state=ok [auto_dig_mcp] 2026-08-29T18:35:11Z capability_projection count=14 [auto_dig_mcp] 2026-08-29T18:35:11Z session_open state=ok [auto_dig_rlm] 2026-08-29T18:35:11Z phase=mcp_ready capability_count=14 capabilities=[tool('mcp.brave.brave_image_search'),tool('mcp.brave.brave_llm_context'),tool('mcp.brave.brave_local_search'),tool('mcp.brave.brave_news_search'),tool('mcp.brave.brave_place_search'),tool('mcp.brave.brave_summarizer'),tool('mcp.brave.brave_video_search'),tool('mcp.brave.brave_web_search'),tool('mcp.fetch.fetch_html'),tool('mcp.fetch.fetch_json'),tool('mcp.fetch.fetch_markdown'),tool('mcp.fetch.fetch_readable'),tool('mcp.fetch.fetch_txt'),tool('mcp.fetch.fetch_youtube_transcript')] [auto_dig_rlm] 2026-08-29T18:35:11Z phase=direct_start context_window=1050000 token_budget=315000 model_calls=12 tool_calls=24 context_ops=32 iterations=24 time_limit=300.0 [auto_dig_rlm] 2026-08-29T18:35:16Z phase=direct_return ::error title=Auto-Dig Prolog-RLM failure::status=error phase=native_call kind=malformed_arguments message=native call batch failed preflight used=unknown limit=unknown model_calls=1 prompt_tokens=2812 completion_tokens=148 total_tokens=2960 cost_usd=0.00088045 [auto_dig_rlm] 2026-08-29T18:35:16Z phase=outcome status=error phase=native_call kind=malformed_arguments message=native call batch failed preflight used=unknown limit=unknown model_calls=1 prompt_tokens=2812 completion_tokens=148 total_tokens=2960 cost_usd=0.00088045 [auto_dig_rlm] 2026-08-29T18:35:16Z phase=result_written file=agent-runs/auto-dig-prolog/2026-08-29-33268628425-1/rlm-result.json [auto_dig_rlm] 2026-08-29T18:35:16Z phase=trace_written file=agent-runs/auto-dig-prolog/2026-08-29-33268628425-1/rlm-trace.json [auto_dig_rlm] 2026-08-29T18:35:16Z phase=finish exit_code=1 ``` > Diagnostics are sanitized at emission time. Raw environment dumps and raw provider payloads are never included in issue-bound output.

nsaspy closed this issue

2026-09-02 17:25:37 +00:00

nsaspy commented

2026-09-02 17:26:33 +00:00

Author

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One-off failure notification for auto-dig run 33268628425; superseded by subsequent successful schedule runs in starintel-gpt-auto-dig (2026-08-30 17:25, 2026-08-31 17:05 and 19:29).

nsaspy referenced this issue from a commit

2026-09-04 20:53:42 +00:00

fix: isolate recoverable native preflight faults per call (#313)

nsaspy referenced this issue

2026-09-04 22:14:02 +00:00

Isolate raw malformed native argument JSON per call (#325) #369

nsaspy referenced this issue

2026-09-04 22:14:03 +00:00

fix: preserve resolved bindings through recoverable preflight faults #371

nsaspy referenced this issue from a pull request that will close it,

2026-09-04 22:14:05 +00:00

fix: isolate recoverable native preflight faults per call #375