{ "observations": [ { "answer_sha256": "bdde1e3ad46b278372b5a48e63263fc67adb7de0bb1659a4b7422c1c58e96746", "failure": null, "failure_class": null, "full_history": [], "history_prompt_tokens": [ 69 ], "passed": true, "reasoning_present": true, "repetition": 0, "scenario_id": "planning", "schema": "anvil-serving.agentic-observation/v1", "stages": { "final_answer": { "passed": true }, "history": { "passed": true }, "protocol": { "passed": true }, "reasoning": { "applicable": false, "passed": true }, "recovery": { "passed": true }, "result_incorporation": { "passed": true } }, "tool_calls": [], "turns": [ { "completion_tokens": 86, "finish_reason": "stop", "latency_ms": 858.3930758759379, "prompt_tokens": 69, "reasoning_chars": 355, "tool_call_count": 0 } ], "visible_answer": "\n\nInspect\nPatch\nTest" }, { "answer_sha256": "bdde1e3ad46b278372b5a48e63263fc67adb7de0bb1659a4b7422c1c58e96746", "failure": null, "failure_class": null, "full_history": [], "history_prompt_tokens": [ 69 ], "passed": true, "reasoning_present": true, "repetition": 1, "scenario_id": "planning", "schema": "anvil-serving.agentic-observation/v1", "stages": { "final_answer": { "passed": true }, "history": { "passed": true }, "protocol": { "passed": true }, "reasoning": { "applicable": false, "passed": true }, "recovery": { "passed": true }, "result_incorporation": { "passed": true } }, "tool_calls": [], "turns": [ { "completion_tokens": 105, "finish_reason": "stop", "latency_ms": 999.3144869804382, "prompt_tokens": 69, "reasoning_chars": 427, "tool_call_count": 0 } ], "visible_answer": "\n\nInspect\nPatch\nTest" }, { "answer_sha256": "1fe6d76d14378cb32db46648f583f9654c9a0640fa5240fcf640a4c211c0ee49", "failure": null, "failure_class": null, "full_history": [], "history_prompt_tokens": [ 71 ], "passed": true, "reasoning_present": true, "repetition": 0, "scenario_id": "reasoning", "schema": "anvil-serving.agentic-observation/v1", "stages": { "final_answer": { "passed": true }, "history": { "passed": true }, "protocol": { "passed": true }, "reasoning": { "applicable": true, "passed": true }, "recovery": { "passed": true }, "result_incorporation": { "passed": true } }, "tool_calls": [], "turns": [ { "completion_tokens": 58, "finish_reason": "stop", "latency_ms": 578.4308901056647, "prompt_tokens": 71, "reasoning_chars": 175, "tool_call_count": 0 } ], "visible_answer": "\n\n42" }, { "answer_sha256": "1fe6d76d14378cb32db46648f583f9654c9a0640fa5240fcf640a4c211c0ee49", "failure": null, "failure_class": null, "full_history": [], "history_prompt_tokens": [ 71 ], "passed": true, "reasoning_present": true, "repetition": 1, "scenario_id": "reasoning", "schema": "anvil-serving.agentic-observation/v1", "stages": { "final_answer": { "passed": true }, "history": { "passed": true }, "protocol": { "passed": true }, "reasoning": { "applicable": true, "passed": true }, "recovery": { "passed": true }, "result_incorporation": { "passed": true } }, "tool_calls": [], "turns": [ { "completion_tokens": 53, "finish_reason": "stop", "latency_ms": 532.7489071059972, "prompt_tokens": 71, "reasoning_chars": 181, "tool_call_count": 0 } ], "visible_answer": "\n\n42" }, { "answer_sha256": "3963346d6f83d5144a80c002ae7328ccf69e2901a1df934693b264f25e9ac842", "failure": null, "failure_class": null, "full_history": [], "history_prompt_tokens": [ 75 ], "passed": true, "reasoning_present": true, "repetition": 0, "scenario_id": "structured-edit", "schema": "anvil-serving.agentic-observation/v1", "stages": { "final_answer": { "passed": true }, "history": { "passed": true }, "protocol": { "passed": true }, "reasoning": { "applicable": false, "passed": true }, "recovery": { "passed": true }, "result_incorporation": { "passed": true } }, "tool_calls": [], "turns": [ { "completion_tokens": 65, "finish_reason": "stop", "latency_ms": 639.8238220717758, "prompt_tokens": 75, "reasoning_chars": 166, "tool_call_count": 0 } ], "visible_answer": "\n\n{\"file\":\"app.py\",\"line\":12,\"value\":45}" }, { "answer_sha256": "3963346d6f83d5144a80c002ae7328ccf69e2901a1df934693b264f25e9ac842", "failure": null, "failure_class": null, "full_history": [], "history_prompt_tokens": [ 75 ], "passed": true, "reasoning_present": true, "repetition": 1, "scenario_id": "structured-edit", "schema": "anvil-serving.agentic-observation/v1", "stages": { "final_answer": { "passed": true }, "history": { "passed": true }, "protocol": { "passed": true }, "reasoning": { "applicable": false, "passed": true }, "recovery": { "passed": true }, "result_incorporation": { "passed": true } }, "tool_calls": [], "turns": [ { "completion_tokens": 76, "finish_reason": "stop", "latency_ms": 739.3519629258662, "prompt_tokens": 75, "reasoning_chars": 214, "tool_call_count": 0 } ], "visible_answer": "\n\n{\"file\":\"app.py\",\"line\":12,\"value\":45}" }, { "answer_sha256": "c1e425139b98dffdca6868cff2ed20f00a80418c0051c1325210deb9c11b2c1b", "failure": null, "failure_class": null, "full_history": [], "history_prompt_tokens": [ 411, 494, 562 ], "passed": true, "reasoning_present": true, "repetition": 0, "scenario_id": "tool-sequence", "schema": "anvil-serving.agentic-observation/v1", "stages": { "final_answer": { "passed": true }, "history": { "passed": true }, "protocol": { "passed": true }, "reasoning": { "applicable": false, "passed": true }, "recovery": { "passed": true }, "result_incorporation": { "passed": true } }, "tool_calls": [ { "arguments": { "id": "T-17" }, "name": "read_ticket" }, { "arguments": { "path": "src/app.py" }, "name": "read_file" } ], "turns": [ { "completion_tokens": 60, "finish_reason": "tool_calls", "latency_ms": 608.3884139079601, "prompt_tokens": 411, "reasoning_chars": 117, "tool_call_count": 1 }, { "completion_tokens": 45, "finish_reason": "tool_calls", "latency_ms": 472.2958679776639, "prompt_tokens": 494, "reasoning_chars": 60, "tool_call_count": 1 }, { "completion_tokens": 143, "finish_reason": "stop", "latency_ms": 1356.1238839756697, "prompt_tokens": 562, "reasoning_chars": 182, "tool_call_count": 0 } ], "visible_answer": "\n\nDone \u2014 here's what I found:\n\n1. **Ticket T-17** \u2192 references the file path `src/app.py`\n2. **src/app.py** \u2192 returned only: `{\"marker\": \"FILE-READY\"}`\n\nThe ticket simply names a file, and the file's contents came back as a single status marker (`FILE-READY`) rather than actual source code. Let me know if you'd like me to check a different ticket or path." }, { "answer_sha256": "03a227dcb65bb750244b1c9a06dc0ac4d35b326b068659701730fb0f879be7ab", "failure": null, "failure_class": null, "full_history": [], "history_prompt_tokens": [ 411, 485, 552 ], "passed": true, "reasoning_present": true, "repetition": 1, "scenario_id": "tool-sequence", "schema": "anvil-serving.agentic-observation/v1", "stages": { "final_answer": { "passed": true }, "history": { "passed": true }, "protocol": { "passed": true }, "reasoning": { "applicable": false, "passed": true }, "recovery": { "passed": true }, "result_incorporation": { "passed": true } }, "tool_calls": [ { "arguments": { "id": "T-17" }, "name": "read_ticket" }, { "arguments": { "path": "src/app.py" }, "name": "read_file" } ], "turns": [ { "completion_tokens": 51, "finish_reason": "tool_calls", "latency_ms": 525.2344638574868, "prompt_tokens": 411, "reasoning_chars": 75, "tool_call_count": 1 }, { "completion_tokens": 44, "finish_reason": "tool_calls", "latency_ms": 461.1312230117619, "prompt_tokens": 485, "reasoning_chars": 50, "tool_call_count": 1 }, { "completion_tokens": 201, "finish_reason": "stop", "latency_ms": 1881.582228001207, "prompt_tokens": 552, "reasoning_chars": 161, "tool_call_count": 0 } ], "visible_answer": "\n\nI followed both steps:\n\n1. **Ticket T-17** \u2014 contains a single field: `path: \"src/app.py\"` (it names a file to open; no other ticket details such as a title, status, or description are provided).\n\n2. **File `src/app.py`** \u2014 the read returned only `{\"marker\": \"FILE-READY\"}`, i.e. no actual file contents came back, just a readiness marker.\n\nSo the ticket resolved to `src/app.py`, but that file yielded no substantive content \u2014 just the marker `FILE-READY`. If you expected real source code there, the file may be a stub or the fixture may not be populated yet; let me know if you'd like me to try a different path." }, { "answer_sha256": "b6692b17b39e6c223bfde620ad2cc9c8f2ba7a1fac78aeb042e6c74bcdcf993b", "failure": null, "failure_class": null, "full_history": [], "history_prompt_tokens": [ 335, 504 ], "passed": true, "reasoning_present": true, "repetition": 0, "scenario_id": "parallel-tools", "schema": "anvil-serving.agentic-observation/v1", "stages": { "final_answer": { "passed": true }, "history": { "passed": true }, "protocol": { "passed": true }, "reasoning": { "applicable": false, "passed": true }, "recovery": { "passed": true }, "result_incorporation": { "passed": true } }, "tool_calls": [ { "arguments": { "path": "a.py" }, "name": "read_file" }, { "arguments": { "path": "b.py" }, "name": "read_file" } ], "turns": [ { "completion_tokens": 119, "finish_reason": "tool_calls", "latency_ms": 1133.9914980344474, "prompt_tokens": 335, "reasoning_chars": 321, "tool_call_count": 2 }, { "completion_tokens": 27, "finish_reason": "stop", "latency_ms": 308.1393640022725, "prompt_tokens": 504, "reasoning_chars": 35, "tool_call_count": 0 } ], "visible_answer": "\n\na.py marker: A-OK\n\nb.py marker: B-OK" }, { "answer_sha256": "cff3ee0bc386fcd6bdaa2e917ed2ae6a13adc5463e20aae3b2ebfe467331724a", "failure": null, "failure_class": null, "full_history": [], "history_prompt_tokens": [ 335, 499 ], "passed": true, "reasoning_present": true, "repetition": 1, "scenario_id": "parallel-tools", "schema": "anvil-serving.agentic-observation/v1", "stages": { "final_answer": { "passed": true }, "history": { "passed": true }, "protocol": { "passed": true }, "reasoning": { "applicable": false, "passed": true }, "recovery": { "passed": true }, "result_incorporation": { "passed": true } }, "tool_calls": [ { "arguments": { "path": "a.py" }, "name": "read_file" }, { "arguments": { "path": "b.py" }, "name": "read_file" } ], "turns": [ { "completion_tokens": 114, "finish_reason": "tool_calls", "latency_ms": 1084.9820249713957, "prompt_tokens": 335, "reasoning_chars": 246, "tool_call_count": 2 }, { "completion_tokens": 29, "finish_reason": "stop", "latency_ms": 323.88875307515264, "prompt_tokens": 499, "reasoning_chars": 43, "tool_call_count": 0 } ], "visible_answer": "\n\n- a.py marker: A-OK\n- b.py marker: B-OK" }, { "answer_sha256": "83eacdaaabb71bf018b25f67ecfcac9a0eb89064f10d323fce34dd50a42f2918", "failure": null, "failure_class": null, "full_history": [], "history_prompt_tokens": [ 420, 508, 594 ], "passed": true, "reasoning_present": true, "repetition": 0, "scenario_id": "dependent-result", "schema": "anvil-serving.agentic-observation/v1", "stages": { "final_answer": { "passed": true }, "history": { "passed": true }, "protocol": { "passed": true }, "reasoning": { "applicable": false, "passed": true }, "recovery": { "passed": true }, "result_incorporation": { "passed": true } }, "tool_calls": [ { "arguments": { "name": "Ada" }, "name": "lookup_user" }, { "arguments": { "id": "user-73", "state": "active" }, "name": "update_user" } ], "turns": [ { "completion_tokens": 64, "finish_reason": "tool_calls", "latency_ms": 639.7305110003799, "prompt_tokens": 420, "reasoning_chars": 159, "tool_call_count": 1 }, { "completion_tokens": 62, "finish_reason": "tool_calls", "latency_ms": 621.4966038241982, "prompt_tokens": 508, "reasoning_chars": 72, "tool_call_count": 1 }, { "completion_tokens": 118, "finish_reason": "stop", "latency_ms": 1132.9245241358876, "prompt_tokens": 594, "reasoning_chars": 139, "tool_call_count": 0 } ], "visible_answer": "\n\nDone. Here's what happened:\n\n1. **Lookup** \u2014 Found user \"Ada\" \u2192 `id: user-73`\n2. **Update** \u2014 Set `user-73` to state `active` \u2192 returned status `UPDATED-73`\n\nThe record matches the looked-up user (id 73 in both steps), so the correct account was activated." }, { "answer_sha256": "e2903a4ad78f1d428ded45b1dd8ba6a968c82df1e75b270cbe5cbe0c925821d6", "failure": null, "failure_class": "final_answer_failure", "full_history": [], "history_prompt_tokens": [ 420, 509, 599 ], "passed": false, "reasoning_present": true, "repetition": 1, "scenario_id": "dependent-result", "schema": "anvil-serving.agentic-observation/v1", "stages": { "final_answer": { "passed": false }, "history": { "passed": true }, "protocol": { "passed": true }, "reasoning": { "applicable": false, "passed": true }, "recovery": { "passed": true }, "result_incorporation": { "passed": false } }, "tool_calls": [ { "arguments": { "name": "Ada" }, "name": "lookup_user" }, { "arguments": { "id": "user-73", "state": "active" }, "name": "update_user" } ], "turns": [ { "completion_tokens": 65, "finish_reason": "tool_calls", "latency_ms": 652.7490918524563, "prompt_tokens": 420, "reasoning_chars": 149, "tool_call_count": 1 }, { "completion_tokens": 66, "finish_reason": "tool_calls", "latency_ms": 659.2201720923185, "prompt_tokens": 509, "reasoning_chars": 79, "tool_call_count": 1 }, { "completion_tokens": 40, "finish_reason": "stop", "latency_ms": 432.3007520288229, "prompt_tokens": 599, "reasoning_chars": 69, "tool_call_count": 0 } ], "visible_answer": "\n\nDone! User Ada (`user-73`) has been successfully updated to **active**." }, { "answer_sha256": "95cdd3ffa4835f5f2ef5a5b3745920275eb9944b0a73027f6023439e0fa0c4a7", "failure": null, "failure_class": null, "full_history": [], "history_prompt_tokens": [ 351, 470, 612 ], "passed": true, "reasoning_present": true, "repetition": 0, "scenario_id": "tool-recovery-error", "schema": "anvil-serving.agentic-observation/v1", "stages": { "final_answer": { "passed": true }, "history": { "passed": true }, "protocol": { "passed": true }, "reasoning": { "applicable": false, "passed": true }, "recovery": { "passed": true }, "result_incorporation": { "passed": true } }, "tool_calls": [ { "arguments": { "attempt": "1", "id": "B-9" }, "name": "fetch_build" }, { "arguments": { "attempt": "2", "id": "B-9" }, "name": "fetch_build" } ], "turns": [ { "completion_tokens": 98, "finish_reason": "tool_calls", "latency_ms": 950.1231629401445, "prompt_tokens": 351, "reasoning_chars": 171, "tool_call_count": 1 }, { "completion_tokens": 113, "finish_reason": "tool_calls", "latency_ms": 1086.679320083931, "prompt_tokens": 470, "reasoning_chars": 242, "tool_call_count": 1 }, { "completion_tokens": 110, "finish_reason": "stop", "latency_ms": 1057.6937589794397, "prompt_tokens": 612, "reasoning_chars": 40, "tool_call_count": 0 } ], "visible_answer": "\n\nDone. Here's what happened:\n\n1. **Attempt 1** \u2014 returned `{\"error\": \"temporary\"}`, an unusable result.\n2. **Attempt 2 (single safe retry)** \u2014 succeeded: `{\"marker\": \"BUILD-OK\", \"status\": \"passed\"}`\n\n**Result for build B-9:** marker `BUILD-OK`, status `passed`. The build is healthy; the initial failure was a transient issue that cleared on one retry." }, { "answer_sha256": "afbeae343b44767bd230001cf059b1e7b10193b6abc19062fa52118ff7fd577a", "failure": null, "failure_class": null, "full_history": [], "history_prompt_tokens": [ 351, 501, 685 ], "passed": true, "reasoning_present": true, "repetition": 1, "scenario_id": "tool-recovery-error", "schema": "anvil-serving.agentic-observation/v1", "stages": { "final_answer": { "passed": true }, "history": { "passed": true }, "protocol": { "passed": true }, "reasoning": { "applicable": false, "passed": true }, "recovery": { "passed": true }, "result_incorporation": { "passed": true } }, "tool_calls": [ { "arguments": { "attempt": "1", "id": "B-9" }, "name": "fetch_build" }, { "arguments": { "attempt": "2", "id": "B-9" }, "name": "fetch_build" } ], "turns": [ { "completion_tokens": 129, "finish_reason": "tool_calls", "latency_ms": 1228.4855130128562, "prompt_tokens": 351, "reasoning_chars": 284, "tool_call_count": 1 }, { "completion_tokens": 155, "finish_reason": "tool_calls", "latency_ms": 1465.9558669663966, "prompt_tokens": 501, "reasoning_chars": 388, "tool_call_count": 1 }, { "completion_tokens": 106, "finish_reason": "stop", "latency_ms": 1024.2213050369173, "prompt_tokens": 685, "reasoning_chars": 125, "tool_call_count": 0 } ], "visible_answer": "\n\nDone. Here's what happened:\n\n- **First attempt:** Returned a `temporary` error \u2014 unusable.\n- **Safe retry (attempt 2):** Succeeded.\n\n**Final result for build B-9:**\n- Marker: `BUILD-OK`\n- Status: `passed`\n\nThe build fetch completed successfully after the single retry." }, { "answer_sha256": "038302e0203a1cdb8aa059a227847484af66b595c25dfe70f9ccb623ea7267ad", "failure": null, "failure_class": "protocol_failure", "full_history": [], "history_prompt_tokens": [ 501, 610, 683, 838, 1025, 1492, 1630, 1786, 2078, 2673, 3037 ], "passed": false, "reasoning_present": true, "repetition": 0, "scenario_id": "debug-loop", "schema": "anvil-serving.agentic-observation/v1", "stages": { "final_answer": { "passed": true }, "history": { "passed": true }, "protocol": { "passed": false }, "reasoning": { "applicable": false, "passed": true }, "recovery": { "passed": true }, "result_incorporation": { "passed": true } }, "tool_calls": [ { "arguments": { "scope": "unit" }, "name": "run_tests" }, { "arguments": { "path": "calc.py" }, "name": "read_file" }, { "arguments": { "path": "test_calc.py" }, "name": "read_file" }, { "arguments": { "path": "tests/test_calc.py" }, "name": "read_file" }, { "arguments": { "path": "tests/unit/test_calc.py" }, "name": "read_file" }, { "arguments": { "edit": "-return a - b\n+return a + b", "path": "calc.py" }, "name": "apply_edit" }, { "arguments": { "edit": "<<<<<<< SEARCH\nreturn a - b\n=======\nreturn a + b\n>>>>>>> REPLACE", "path": "calc.py" }, "name": "apply_edit" }, { "arguments": { "edit": "return a + b", "path": "calc.py" }, "name": "apply_edit" }, { "arguments": { "edit": "--- a/calc.py\n+++ b/calc.py\n@@ -1 +1 @@\n-return a - b\n+return a + b", "path": "calc.py" }, "name": "apply_edit" }, { "arguments": { "scope": "unit" }, "name": "run_tests" }, { "arguments": { "path": "calc.py" }, "name": "read_file" } ], "turns": [ { "completion_tokens": 81, "finish_reason": "tool_calls", "latency_ms": 799.6230509597808, "prompt_tokens": 501, "reasoning_chars": 219, "tool_call_count": 1 }, { "completion_tokens": 42, "finish_reason": "tool_calls", "latency_ms": 443.5659381560981, "prompt_tokens": 610, "reasoning_chars": 53, "tool_call_count": 1 }, { "completion_tokens": 134, "finish_reason": "tool_calls", "latency_ms": 1277.3719769902527, "prompt_tokens": 683, "reasoning_chars": 424, "tool_call_count": 1 }, { "completion_tokens": 143, "finish_reason": "tool_calls", "latency_ms": 1357.5319279916584, "prompt_tokens": 838, "reasoning_chars": 351, "tool_call_count": 2 }, { "completion_tokens": 443, "finish_reason": "tool_calls", "latency_ms": 4068.778950953856, "prompt_tokens": 1025, "reasoning_chars": 1652, "tool_call_count": 1 }, { "completion_tokens": 114, "finish_reason": "tool_calls", "latency_ms": 1098.981687799096, "prompt_tokens": 1492, "reasoning_chars": 223, "tool_call_count": 1 }, { "completion_tokens": 132, "finish_reason": "tool_calls", "latency_ms": 1255.5043080355972, "prompt_tokens": 1630, "reasoning_chars": 384, "tool_call_count": 1 }, { "completion_tokens": 268, "finish_reason": "tool_calls", "latency_ms": 2483.264759881422, "prompt_tokens": 1786, "reasoning_chars": 885, "tool_call_count": 1 }, { "completion_tokens": 571, "finish_reason": "tool_calls", "latency_ms": 5251.034820917994, "prompt_tokens": 2078, "reasoning_chars": 2188, "tool_call_count": 1 }, { "completion_tokens": 340, "finish_reason": "tool_calls", "latency_ms": 3164.3576009664685, "prompt_tokens": 2673, "reasoning_chars": 1443, "tool_call_count": 1 }, { "completion_tokens": 614, "finish_reason": "stop", "latency_ms": 5654.127622023225, "prompt_tokens": 3037, "reasoning_chars": 732, "tool_call_count": 0 } ], "visible_answer": "\n\n**Status: incomplete \u2014 the environment stopped accepting tool calls before I could verify anything.**\n\nWhat actually happened:\n\n1. **Ran unit tests** \u2192 `run_tests(scope=\"unit\")` returned `{\"file\": \"calc.py\", \"status\": \"failed\"}`.\n2. **Inspected the failing file** \u2192 `read_file(\"calc.py\")` returned a single line of content: `return a - b` (note: no `def` header, so the file looks truncated/broken).\n3. **Attempted the one-line fix** \u2192 rejected. I tried four edit formats against `calc.py` (unified diff, `---/+++` with hunk header, SEARCH/REPLACE block, and a plain line replacement changing `a - b` to `a + b`). All four returned `{\"error\": \"unexpected deterministic tool call\"}` \u2014 no edit was applied.\n4. **Rerun unit tests** \u2192 also rejected with the same error, as was a final confirmation read of `calc.py`. Every tool call after the failed edit attempts is refused, so the fixture appears to have left a scripted state (my two extra `read_file` probes for a test file seem to have desynchronized it).\n\nConsequences you should know:\n\n- **`calc.py` was not modified.** It still contains `return a - b`.\n- **I never read a test file**, so I don't actually know what the failing assertion expects. My guess that the fix is `return a - b` \u2192 `return a + b` is an inference from the operator mismatch, not something confirmed against a test. The real bug could equally be the missing function definition line.\n- **The test result was never re-verified.** No passing run was observed.\n\nTo finish this, the intended change on line 1 of `calc.py` is most likely:\n\n```python\n return a + b\n```\n\nBut please re-run the tests yourself after applying it, and confirm the intended operator/structure against the actual failing test, since neither the test source nor the post-fix test run was readable in this session." }, { "answer_sha256": "3bafe77fe8eb7c49f721fdfe9fafff92f34dd6b9d19245a55da0f7e4c7854387", "failure": null, "failure_class": "protocol_failure", "full_history": [], "history_prompt_tokens": [ 501, 593, 666, 899, 1168, 1665, 1969, 2360, 3147, 4063, 4519 ], "passed": false, "reasoning_present": true, "repetition": 1, "scenario_id": "debug-loop", "schema": "anvil-serving.agentic-observation/v1", "stages": { "final_answer": { "passed": true }, "history": { "passed": true }, "protocol": { "passed": false }, "reasoning": { "applicable": false, "passed": true }, "recovery": { "passed": true }, "result_incorporation": { "passed": true } }, "tool_calls": [ { "arguments": { "scope": "unit" }, "name": "run_tests" }, { "arguments": { "path": "calc.py" }, "name": "read_file" }, { "arguments": { "path": "test_calc.py" }, "name": "read_file" }, { "arguments": { "path": "tests/test_calc.py" }, "name": "read_file" }, { "arguments": { "path": "README.md" }, "name": "read_file" }, { "arguments": { "edit": "<<<<<<< SEARCH\nreturn a - b\n=======\nreturn a + b\n>>>>>>> REPLACE", "path": "calc.py" }, "name": "apply_edit" }, { "arguments": { "edit": "return a + b", "path": "calc.py" }, "name": "apply_edit" }, { "arguments": { "edit": "--- a/calc.py\n+++ b/calc.py\n@@\n-return a - b\n+return a + b", "path": "calc.py" }, "name": "apply_edit" }, { "arguments": { "scope": "unit" }, "name": "run_tests" }, { "arguments": { "path": "calc.py" }, "name": "read_file" }, { "arguments": { "edit": "{\"find\": \"return a - b\", \"replace\": \"return a + b\"}", "path": "calc.py" }, "name": "apply_edit" }, { "arguments": { "scope": "all" }, "name": "run_tests" } ], "turns": [ { "completion_tokens": 64, "finish_reason": "tool_calls", "latency_ms": 648.3662091195583, "prompt_tokens": 501, "reasoning_chars": 142, "tool_call_count": 1 }, { "completion_tokens": 42, "finish_reason": "tool_calls", "latency_ms": 445.04470308311284, "prompt_tokens": 593, "reasoning_chars": 54, "tool_call_count": 1 }, { "completion_tokens": 212, "finish_reason": "tool_calls", "latency_ms": 1978.0251488555223, "prompt_tokens": 666, "reasoning_chars": 765, "tool_call_count": 1 }, { "completion_tokens": 225, "finish_reason": "tool_calls", "latency_ms": 2098.290005000308, "prompt_tokens": 899, "reasoning_chars": 703, "tool_call_count": 2 }, { "completion_tokens": 473, "finish_reason": "tool_calls", "latency_ms": 4335.457656066865, "prompt_tokens": 1168, "reasoning_chars": 1633, "tool_call_count": 1 }, { "completion_tokens": 280, "finish_reason": "tool_calls", "latency_ms": 2596.4859349187464, "prompt_tokens": 1665, "reasoning_chars": 1040, "tool_call_count": 1 }, { "completion_tokens": 367, "finish_reason": "tool_calls", "latency_ms": 3393.7457390129566, "prompt_tokens": 1969, "reasoning_chars": 1205, "tool_call_count": 1 }, { "completion_tokens": 763, "finish_reason": "tool_calls", "latency_ms": 6997.022849041969, "prompt_tokens": 2360, "reasoning_chars": 2820, "tool_call_count": 1 }, { "completion_tokens": 892, "finish_reason": "tool_calls", "latency_ms": 8176.060611847788, "prompt_tokens": 3147, "reasoning_chars": 3619, "tool_call_count": 1 }, { "completion_tokens": 418, "finish_reason": "tool_calls", "latency_ms": 3876.81754399091, "prompt_tokens": 4063, "reasoning_chars": 1491, "tool_call_count": 2 }, { "completion_tokens": 787, "finish_reason": "stop", "latency_ms": 7230.045578209683, "prompt_tokens": 4519, "reasoning_chars": 991, "tool_call_count": 0 } ], "visible_answer": "\n\nI was not able to complete this task. Here's exactly what happened, unvarnished:\n\n**1. Ran unit tests** \u2192 `{\"file\": \"calc.py\", \"status\": \"failed\"}`\n\n**2. Inspected the failing file** \u2192 `calc.py` contains exactly one line, with no enclosing `def`:\n```python\nreturn a - b\n```\nAs a module body a bare `return` isn't valid Python, and the operation is almost certainly the wrong one for the function the tests import (most likely an `add`, i.e. the intended one-line fix was `return a + b`).\n\n**3. Attempted the one-line fix** \u2192 every `apply_edit` call was rejected with `{\"error\": \"unexpected deterministic tool call\"}`. I tried four forms (SEARCH/REPLACE block, full new content, unified diff, and a JSON find/replace string). None were accepted, so **no edit was ever applied to `calc.py`.**\n\n**4. Rerunning unit tests** \u2192 also rejected. After the edit failures, *every* call now returns `unexpected deterministic tool call`, including `read_file(\"calc.py\")` (which had worked earlier) and `run_tests` with both `unit` and `all` scopes.\n\n**Likely cause of the harness problem:** the fixture appears to serve a fixed script of responses in sequence rather than keyed per call. Beyond the two scripted calls I made (`run_tests unit`, `read_file calc.py`), I made two exploratory reads \u2014 `test_calc.py` and `tests/test_calc.py` \u2014 which returned off-topic payloads (`{\"status\": \"edited\"}` and `{\"marker\": \"TESTS-PASS\", \"status\": \"passed\"}`). Those look like they were the scripted responses reserved for the edit and the final passing test run, which means I burned them and exhausted the script before reaching those steps. My extra exploration was the mistake here.\n\n**Consequences you need to know:**\n- `calc.py` is **unchanged** and presumably still failing.\n- I have **no evidence the tests pass.** The only `TESTS-PASS`/`status: passed` payloads I saw came from file-read calls, not from a real test run, so they must not be treated as verification.\n- The environment needs to be reset/re-armed before another attempt. Once reset, the sequence should be: `run_tests(unit)` \u2192 `read_file(\"calc.py\")` \u2192 `apply_edit` changing `return a - b` to the correct operation \u2192 `run_tests(unit)`, with no exploratory reads in between." }, { "answer_sha256": "dd891e6fc3ffeadcbf5eff7120a846d9fa0370f331c59371da2633c31e11c90e", "failure": null, "failure_class": null, "full_history": [ { "content": "Remember private session code [REDACTED_TEST_SECRET].", "role": "user" }, { "content": "Turn 0: remember neutral note 0.", "role": "user" }, { "content": "noted 0", "role": "assistant" }, { "content": "Turn 1: remember neutral note 1.", "role": "user" }, { "content": "noted 1", "role": "assistant" }, { "content": "Turn 2: remember neutral note 2.", "role": "user" }, { "content": "noted 2", "role": "assistant" }, { "content": "Turn 3: remember neutral note 3.", "role": "user" }, { "content": "noted 3", "role": "assistant" }, { "content": "Turn 4: remember neutral note 4.", "role": "user" }, { "content": "noted 4", "role": "assistant" }, { "content": "Turn 5: remember neutral note 5.", "role": "user" }, { "content": "noted 5", "role": "assistant" }, { "content": "Turn 6: remember neutral note 6.", "role": "user" }, { "content": "noted 6", "role": "assistant" }, { "content": "Turn 7: remember neutral note 7.", "role": "user" }, { "content": "noted 7", "role": "assistant" }, { "content": "Turn 8: remember neutral note 8.", "role": "user" }, { "content": "noted 8", "role": "assistant" }, { "content": "Turn 9: remember neutral note 9.", "role": "user" }, { "content": "noted 9", "role": "assistant" }, { "content": "Turn 10: remember neutral note 10.", "role": "user" }, { "content": "noted 10", "role": "assistant" }, { "content": "Return only the private session code.", "role": "user" } ], "history_prompt_tokens": [ 386 ], "passed": true, "reasoning_present": true, "repetition": 0, "scenario_id": "context-recovery", "schema": "anvil-serving.agentic-observation/v1", "stages": { "final_answer": { "passed": true }, "history": { "passed": true }, "protocol": { "passed": true }, "reasoning": { "applicable": false, "passed": true }, "recovery": { "passed": true }, "result_incorporation": { "passed": true } }, "tool_calls": [], "turns": [ { "completion_tokens": 47, "finish_reason": "stop", "latency_ms": 478.5152510739863, "prompt_tokens": 386, "reasoning_chars": 156, "tool_call_count": 0 } ], "visible_answer": "\n\n[REDACTED_TEST_SECRET]" }, { "answer_sha256": "dd891e6fc3ffeadcbf5eff7120a846d9fa0370f331c59371da2633c31e11c90e", "failure": null, "failure_class": null, "full_history": [ { "content": "Remember private session code [REDACTED_TEST_SECRET].", "role": "user" }, { "content": "Turn 0: remember neutral note 0.", "role": "user" }, { "content": "noted 0", "role": "assistant" }, { "content": "Turn 1: remember neutral note 1.", "role": "user" }, { "content": "noted 1", "role": "assistant" }, { "content": "Turn 2: remember neutral note 2.", "role": "user" }, { "content": "noted 2", "role": "assistant" }, { "content": "Turn 3: remember neutral note 3.", "role": "user" }, { "content": "noted 3", "role": "assistant" }, { "content": "Turn 4: remember neutral note 4.", "role": "user" }, { "content": "noted 4", "role": "assistant" }, { "content": "Turn 5: remember neutral note 5.", "role": "user" }, { "content": "noted 5", "role": "assistant" }, { "content": "Turn 6: remember neutral note 6.", "role": "user" }, { "content": "noted 6", "role": "assistant" }, { "content": "Turn 7: remember neutral note 7.", "role": "user" }, { "content": "noted 7", "role": "assistant" }, { "content": "Turn 8: remember neutral note 8.", "role": "user" }, { "content": "noted 8", "role": "assistant" }, { "content": "Turn 9: remember neutral note 9.", "role": "user" }, { "content": "noted 9", "role": "assistant" }, { "content": "Turn 10: remember neutral note 10.", "role": "user" }, { "content": "noted 10", "role": "assistant" }, { "content": "Return only the private session code.", "role": "user" } ], "history_prompt_tokens": [ 386 ], "passed": true, "reasoning_present": true, "repetition": 1, "scenario_id": "context-recovery", "schema": "anvil-serving.agentic-observation/v1", "stages": { "final_answer": { "passed": true }, "history": { "passed": true }, "protocol": { "passed": true }, "reasoning": { "applicable": false, "passed": true }, "recovery": { "passed": true }, "result_incorporation": { "passed": true } }, "tool_calls": [], "turns": [ { "completion_tokens": 53, "finish_reason": "stop", "latency_ms": 532.3047998826951, "prompt_tokens": 386, "reasoning_chars": 192, "tool_call_count": 0 } ], "visible_answer": "\n\n[REDACTED_TEST_SECRET]" } ], "passed": true, "request_controls": { "chat_template_kwargs": { "enable_thinking": true }, "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": "enabled" }, "request_ids": [], "schema": "anvil-serving.agentic-suite-run/v1", "summary": { "attempted": 18, "pass_rate": 0.8333333333333334, "passed": 15, "required_pass_rate": 0.75 } }