CI / checks (push) Skipped
CI / checks (pull_request) Successful in 1m12s
Five runs per task at 320 W with max_turns 40, after the fixes in #50-#52, for qwen3.8-27b, qwen3.6-35b-a3b, gemma-4-26b-a4b, devstral-small-2-24b and mimo-v2.6-9b; the harder four also for claude-haiku-4-5 as the ceiling, and two calibration runs each for local-fast as the floor. Runs failed by the proxy's rate limiter were set aside, not stored. Earlier results move to bench/results/archive/, which the report does not read: they were made at other power caps, at max_turns 24, or on the RTX 4070, and are kept as the record. Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
21 lines
26 KiB
JSON
21 lines
26 KiB
JSON
{"backing": "openai/gemma-4-31b", "check_output": "...... [100%]\n6 passed in 0.01s\n", "commit": "8a8d8dc+dirty", "cost": 0.0, "failed_commands": 1, "fallbacks": [], "invented_tools": 0, "model": "gemma-4-31b", "model_info": {"max_input_tokens": 49152, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "llama.cpp b11206, q4_0, q8_0 KV, 48k, temp 1.0 top-p 0.95 top-k 64, RTX 4090, 350 W cap", "outcome": "completed", "outcome_note": "Fixed the bug in `total_value` in `inventory.py` where it was summing only the unit prices instead of multiplying unit price by quantity for each item. Verified the fix with `pytest`.", "prose_turns": 0, "provider": "openai", "success": true, "task": "fix-bug", "task_hash": "b78248aff00ddc39", "tokens_in": 5927, "tokens_out": 610, "trimmed_requests": 0, "ts": "2026-09-27T18:10:31+00:00", "tuning": {"context": {"keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "executor": {"failure_limit": 2, "max_turns": 24}, "expert": {"consult_budget": 3}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 6, "wall_s": 18.0}
|
|
{"backing": "openai/gemma-4-31b", "check_output": "...... [100%]\n6 passed in 0.01s\n", "commit": "8a8d8dc+dirty", "cost": 0.0, "failed_commands": 1, "fallbacks": [], "invented_tools": 0, "model": "gemma-4-31b", "model_info": {"max_input_tokens": 49152, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "llama.cpp b11206, q4_0, q8_0 KV, 48k, temp 1.0 top-p 0.95 top-k 64, RTX 4090, 350 W cap", "outcome": "completed", "outcome_note": "Fixed the `total_value` function in `inventory.py` to correctly multiply unit price by quantity for each item. Verified the fix with pytest.", "prose_turns": 0, "provider": "openai", "success": true, "task": "fix-bug", "task_hash": "b78248aff00ddc39", "tokens_in": 5933, "tokens_out": 810, "trimmed_requests": 0, "ts": "2026-09-27T18:10:54+00:00", "tuning": {"context": {"keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "executor": {"failure_limit": 2, "max_turns": 24}, "expert": {"consult_budget": 3}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 6, "wall_s": 22.5}
|
|
{"backing": "openai/gemma-4-31b", "check_output": "...... [100%]\n6 passed in 0.01s\n", "commit": "8a8d8dc+dirty", "cost": 0.0, "failed_commands": 1, "fallbacks": [], "invented_tools": 0, "model": "gemma-4-31b", "model_info": {"max_input_tokens": 49152, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "llama.cpp b11206, q4_0, q8_0 KV, 48k, temp 1.0 top-p 0.95 top-k 64, RTX 4090, 350 W cap", "outcome": "completed", "outcome_note": "Fixed the bug in `total_value` in `inventory.py` where only the unit price was being added instead of unit price times quantity. Verified the fix by running pytest.", "prose_turns": 0, "provider": "openai", "success": true, "task": "fix-bug", "task_hash": "b78248aff00ddc39", "tokens_in": 5939, "tokens_out": 561, "trimmed_requests": 0, "ts": "2026-09-27T18:11:11+00:00", "tuning": {"context": {"keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "executor": {"failure_limit": 2, "max_turns": 24}, "expert": {"consult_budget": 3}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 6, "wall_s": 16.6}
|
|
{"backing": "openai/gemma-4-31b", "check_output": "...... [100%]\n6 passed in 0.01s\n", "commit": "8a8d8dc+dirty", "cost": 0.0, "failed_commands": 1, "fallbacks": [], "invented_tools": 0, "model": "gemma-4-31b", "model_info": {"max_input_tokens": 49152, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "llama.cpp b11206, q4_0, q8_0 KV, 48k, temp 1.0 top-p 0.95 top-k 64, RTX 4090, 350 W cap", "outcome": "completed", "outcome_note": "Fixed the bug in `inventory.py` where `total_value` only added the unit price instead of multiplying it by the quantity. Verified the fix with pytest.", "prose_turns": 0, "provider": "openai", "success": true, "task": "fix-bug", "task_hash": "b78248aff00ddc39", "tokens_in": 5927, "tokens_out": 598, "trimmed_requests": 0, "ts": "2026-09-27T18:11:29+00:00", "tuning": {"context": {"keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "executor": {"failure_limit": 2, "max_turns": 24}, "expert": {"consult_budget": 3}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 6, "wall_s": 17.5}
|
|
{"backing": "openai/gemma-4-31b", "check_output": "...... [100%]\n6 passed in 0.01s\n", "commit": "8a8d8dc+dirty", "cost": 0.0, "failed_commands": 1, "fallbacks": [], "invented_tools": 0, "model": "gemma-4-31b", "model_info": {"max_input_tokens": 49152, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "llama.cpp b11206, q4_0, q8_0 KV, 48k, temp 1.0 top-p 0.95 top-k 64, RTX 4090, 350 W cap", "outcome": "completed", "outcome_note": "Fixed the bug in `inventory.py` where `total_value` was only summing unit prices instead of multiplying each unit price by its quantity. Verified the fix with `pytest`.", "prose_turns": 0, "provider": "openai", "success": true, "task": "fix-bug", "task_hash": "b78248aff00ddc39", "tokens_in": 5933, "tokens_out": 491, "trimmed_requests": 0, "ts": "2026-09-27T18:11:44+00:00", "tuning": {"context": {"keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "executor": {"failure_limit": 2, "max_turns": 24}, "expert": {"consult_budget": 3}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 6, "wall_s": 15.0}
|
|
{"backing": "openai/gemma-4-31b", "check_output": "........................................................................ [ 23%]\n........................................................................ [ 47%]\n........................................................................ [ 71%]\n........................................................................ [ 95%]\n............. [100%]\n301 passed in 0.20s\n", "commit": "8a8d8dc+dirty", "cost": 0.0, "failed_commands": 1, "fallbacks": [], "invented_tools": 0, "model": "gemma-4-31b", "model_info": {"max_input_tokens": 49152, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "llama.cpp b11206, q4_0, q8_0 KV, 48k, temp 1.0 top-p 0.95 top-k 64, RTX 4090, 350 W cap", "outcome": "completed", "outcome_note": "Fixed the rate for region R237 in rates.py, changing it from 0.21 to 0.12 to match the required formula (237 mod 25) / 100. Verified with pytest.", "prose_turns": 0, "provider": "openai", "success": true, "task": "long-output", "task_hash": "8cfbf73fb6620613", "tokens_in": 32146, "tokens_out": 1025, "trimmed_requests": 0, "ts": "2026-09-27T18:12:17+00:00", "tuning": {"context": {"keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "executor": {"failure_limit": 2, "max_turns": 24}, "expert": {"consult_budget": 3}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 6, "wall_s": 32.4}
|
|
{"backing": "openai/gemma-4-31b", "check_output": "........................................................................ [ 23%]\n........................................................................ [ 47%]\n........................................................................ [ 71%]\n........................................................................ [ 95%]\n............. [100%]\n301 passed in 0.20s\n", "commit": "8a8d8dc+dirty", "cost": 0.0, "failed_commands": 1, "fallbacks": [], "invented_tools": 0, "model": "gemma-4-31b", "model_info": {"max_input_tokens": 49152, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "llama.cpp b11206, q4_0, q8_0 KV, 48k, temp 1.0 top-p 0.95 top-k 64, RTX 4090, 350 W cap", "outcome": "completed", "outcome_note": "Fixed the rate for region code R237 in rates.py, changing it from 0.21 to 0.12. Verified that all tests pass.", "prose_turns": 0, "provider": "openai", "success": true, "task": "long-output", "task_hash": "8cfbf73fb6620613", "tokens_in": 32124, "tokens_out": 735, "trimmed_requests": 0, "ts": "2026-09-27T18:12:42+00:00", "tuning": {"context": {"keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "executor": {"failure_limit": 2, "max_turns": 24}, "expert": {"consult_budget": 3}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 6, "wall_s": 24.8}
|
|
{"backing": "openai/gemma-4-31b", "check_output": "........................................................................ [ 23%]\n........................................................................ [ 47%]\n........................................................................ [ 71%]\n........................................................................ [ 95%]\n............. [100%]\n301 passed in 0.20s\n", "commit": "8a8d8dc+dirty", "cost": 0.0, "failed_commands": 1, "fallbacks": [], "invented_tools": 0, "model": "gemma-4-31b", "model_info": {"max_input_tokens": 49152, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "llama.cpp b11206, q4_0, q8_0 KV, 48k, temp 1.0 top-p 0.95 top-k 64, RTX 4090, 350 W cap", "outcome": "completed", "outcome_note": "Fixed the rate for region code R237 in rates.py from 0.21 to 0.12, as required by the test suite (237 mod 25 / 100 = 12/100 = 0.12). All 300 tests now pass.", "prose_turns": 0, "provider": "openai", "success": true, "task": "long-output", "task_hash": "8cfbf73fb6620613", "tokens_in": 17749, "tokens_out": 489, "trimmed_requests": 0, "ts": "2026-09-27T18:12:59+00:00", "tuning": {"context": {"keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "executor": {"failure_limit": 2, "max_turns": 24}, "expert": {"consult_budget": 3}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 5, "wall_s": 16.8}
|
|
{"backing": "openai/gemma-4-31b", "check_output": "........................................................................ [ 23%]\n........................................................................ [ 47%]\n........................................................................ [ 71%]\n........................................................................ [ 95%]\n............. [100%]\n301 passed in 0.20s\n", "commit": "8a8d8dc+dirty", "cost": 0.0, "failed_commands": 1, "fallbacks": [], "invented_tools": 0, "model": "gemma-4-31b", "model_info": {"max_input_tokens": 49152, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "llama.cpp b11206, q4_0, q8_0 KV, 48k, temp 1.0 top-p 0.95 top-k 64, RTX 4090, 350 W cap", "outcome": "completed", "outcome_note": "Corrected the rate for region R237 in rates.py from 0.21 to 0.12.", "prose_turns": 0, "provider": "openai", "success": true, "task": "long-output", "task_hash": "8cfbf73fb6620613", "tokens_in": 17758, "tokens_out": 548, "trimmed_requests": 0, "ts": "2026-09-27T18:13:18+00:00", "tuning": {"context": {"keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "executor": {"failure_limit": 2, "max_turns": 24}, "expert": {"consult_budget": 3}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 5, "wall_s": 18.3}
|
|
{"backing": "openai/gemma-4-31b", "check_output": "........................................................................ [ 23%]\n........................................................................ [ 47%]\n........................................................................ [ 71%]\n........................................................................ [ 95%]\n............. [100%]\n301 passed in 0.20s\n", "commit": "8a8d8dc+dirty", "cost": 0.0, "failed_commands": 1, "fallbacks": [], "invented_tools": 0, "model": "gemma-4-31b", "model_info": {"max_input_tokens": 49152, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "llama.cpp b11206, q4_0, q8_0 KV, 48k, temp 1.0 top-p 0.95 top-k 64, RTX 4090, 350 W cap", "outcome": "completed", "outcome_note": "Fixed the incorrect rate for region code R237 in rates.py. Changed its value from 0.21 to 0.12. Verified that all tests pass.", "prose_turns": 0, "provider": "openai", "success": true, "task": "long-output", "task_hash": "8cfbf73fb6620613", "tokens_in": 40513, "tokens_out": 4946, "trimmed_requests": 0, "ts": "2026-09-27T18:15:36+00:00", "tuning": {"context": {"keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "executor": {"failure_limit": 2, "max_turns": 24}, "expert": {"consult_budget": 3}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 6, "wall_s": 137.5}
|
|
{"backing": "openai/gemma-4-31b", "check_output": "..... [100%]\n5 passed in 0.04s\n", "commit": "8a8d8dc+dirty", "cost": 0.0, "failed_commands": 0, "fallbacks": [], "invented_tools": 0, "model": "gemma-4-31b", "model_info": {"max_input_tokens": 49152, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "llama.cpp b11206, q4_0, q8_0 KV, 48k, temp 1.0 top-p 0.95 top-k 64, RTX 4090, 350 W cap", "outcome": "completed", "outcome_note": "Added a `--shout` option to the greeter. Modified `greeter/core.py` to support shouting and `greeter/cli.py` to handle the new flag. Added tests to verify both the core logic and the CLI interface.", "prose_turns": 0, "provider": "openai", "success": true, "task": "multi-file", "task_hash": "76bc0dcf36a72599", "tokens_in": 9821, "tokens_out": 652, "trimmed_requests": 0, "ts": "2026-09-27T18:15:56+00:00", "tuning": {"context": {"keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "executor": {"failure_limit": 2, "max_turns": 24}, "expert": {"consult_budget": 3}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 9, "wall_s": 20.0}
|
|
{"backing": "openai/gemma-4-31b", "check_output": "..... [100%]\n5 passed in 0.04s\n", "commit": "8a8d8dc+dirty", "cost": 0.0, "failed_commands": 0, "fallbacks": [], "invented_tools": 0, "model": "gemma-4-31b", "model_info": {"max_input_tokens": 49152, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "llama.cpp b11206, q4_0, q8_0 KV, 48k, temp 1.0 top-p 0.95 top-k 64, RTX 4090, 350 W cap", "outcome": "completed", "outcome_note": "Added --shout option to the greeter. Updated core.py to support shouting, cli.py to handle the flag, and added tests to verify both the core logic and the CLI behavior.", "prose_turns": 0, "provider": "openai", "success": true, "task": "multi-file", "task_hash": "76bc0dcf36a72599", "tokens_in": 9854, "tokens_out": 633, "trimmed_requests": 0, "ts": "2026-09-27T18:16:16+00:00", "tuning": {"context": {"keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "executor": {"failure_limit": 2, "max_turns": 24}, "expert": {"consult_budget": 3}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 9, "wall_s": 19.6}
|
|
{"backing": "openai/gemma-4-31b", "check_output": "..... [100%]\n5 passed in 0.04s\n", "commit": "8a8d8dc+dirty", "cost": 0.0, "failed_commands": 0, "fallbacks": [], "invented_tools": 0, "model": "gemma-4-31b", "model_info": {"max_input_tokens": 49152, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "llama.cpp b11206, q4_0, q8_0 KV, 48k, temp 1.0 top-p 0.95 top-k 64, RTX 4090, 350 W cap", "outcome": "completed", "outcome_note": "Added a --shout option to the greeter, allowing greetings to be returned in upper case. Updated core logic, CLI argument parsing, and added corresponding tests.", "prose_turns": 0, "provider": "openai", "success": true, "task": "multi-file", "task_hash": "76bc0dcf36a72599", "tokens_in": 11959, "tokens_out": 1071, "trimmed_requests": 0, "ts": "2026-09-27T18:17:42+00:00", "tuning": {"context": {"keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "executor": {"failure_limit": 2, "max_turns": 24}, "expert": {"consult_budget": 3}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 11, "wall_s": 85.2}
|
|
{"backing": "openai/gemma-4-31b", "check_output": "..... [100%]\n5 passed in 0.04s\n", "commit": "8a8d8dc+dirty", "cost": 0.0, "failed_commands": 0, "fallbacks": [], "invented_tools": 0, "model": "gemma-4-31b", "model_info": {"max_input_tokens": 49152, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "llama.cpp b11206, q4_0, q8_0 KV, 48k, temp 1.0 top-p 0.95 top-k 64, RTX 4090, 350 W cap", "outcome": "completed", "outcome_note": "Added `--shout` option to the greeter. Updated `greeter/core.py` to support shouting, `greeter/cli.py` to accept the flag, and added tests in `tests/test_greeter.py`. Verified with pytest and manual execution.", "prose_turns": 0, "provider": "openai", "success": true, "task": "multi-file", "task_hash": "76bc0dcf36a72599", "tokens_in": 9821, "tokens_out": 626, "trimmed_requests": 0, "ts": "2026-09-27T18:18:02+00:00", "tuning": {"context": {"keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "executor": {"failure_limit": 2, "max_turns": 24}, "expert": {"consult_budget": 3}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 9, "wall_s": 19.8}
|
|
{"backing": "openai/gemma-4-31b", "check_output": "..... [100%]\n5 passed in 0.04s\n", "commit": "8a8d8dc+dirty", "cost": 0.0, "failed_commands": 0, "fallbacks": [], "invented_tools": 0, "model": "gemma-4-31b", "model_info": {"max_input_tokens": 49152, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "llama.cpp b11206, q4_0, q8_0 KV, 48k, temp 1.0 top-p 0.95 top-k 64, RTX 4090, 350 W cap", "outcome": "completed", "outcome_note": "Added `--shout` option to greeter. Updated `greeter/core.py` to handle the `shout` argument and `greeter/cli.py` to accept the flag. Added tests to `tests/test_greeter.py` and verified they pass and that the CLI works as expected.", "prose_turns": 0, "provider": "openai", "success": true, "task": "multi-file", "task_hash": "76bc0dcf36a72599", "tokens_in": 9809, "tokens_out": 705, "trimmed_requests": 0, "ts": "2026-09-27T18:18:24+00:00", "tuning": {"context": {"keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "executor": {"failure_limit": 2, "max_turns": 24}, "expert": {"consult_budget": 3}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 9, "wall_s": 21.4}
|
|
{"backing": "openai/gemma-4-31b", "check_output": "........ [100%]\n8 passed in 0.01s\n", "commit": "8a8d8dc+dirty", "cost": 0.0, "failed_commands": 0, "fallbacks": [], "invented_tools": 0, "model": "gemma-4-31b", "model_info": {"max_input_tokens": 49152, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "llama.cpp b11206, q4_0, q8_0 KV, 48k, temp 1.0 top-p 0.95 top-k 64, RTX 4090, 350 W cap", "outcome": "completed", "outcome_note": "Implemented slugify function in slugify.py and verified it with pytest tests in test_slugify.py.", "prose_turns": 0, "provider": "openai", "success": true, "task": "write-function", "task_hash": "ec722fb0f389a6f4", "tokens_in": 3358, "tokens_out": 348, "trimmed_requests": 0, "ts": "2026-09-27T18:18:34+00:00", "tuning": {"context": {"keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "executor": {"failure_limit": 2, "max_turns": 24}, "expert": {"consult_budget": 3}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 4, "wall_s": 10.5}
|
|
{"backing": "openai/gemma-4-31b", "check_output": "........ [100%]\n8 passed in 0.01s\n", "commit": "8a8d8dc+dirty", "cost": 0.0, "failed_commands": 0, "fallbacks": [], "invented_tools": 0, "model": "gemma-4-31b", "model_info": {"max_input_tokens": 49152, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "llama.cpp b11206, q4_0, q8_0 KV, 48k, temp 1.0 top-p 0.95 top-k 64, RTX 4090, 350 W cap", "outcome": "completed", "outcome_note": "Added a `slugify` function in `slugify.py` and verified it with tests in `test_slugify.py`.", "prose_turns": 0, "provider": "openai", "success": true, "task": "write-function", "task_hash": "ec722fb0f389a6f4", "tokens_in": 3242, "tokens_out": 438, "trimmed_requests": 0, "ts": "2026-09-27T18:18:47+00:00", "tuning": {"context": {"keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "executor": {"failure_limit": 2, "max_turns": 24}, "expert": {"consult_budget": 3}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 4, "wall_s": 12.3}
|
|
{"backing": "openai/gemma-4-31b", "check_output": "........ [100%]\n8 passed in 0.01s\n", "commit": "8a8d8dc+dirty", "cost": 0.0, "failed_commands": 0, "fallbacks": [], "invented_tools": 0, "model": "gemma-4-31b", "model_info": {"max_input_tokens": 49152, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "llama.cpp b11206, q4_0, q8_0 KV, 48k, temp 1.0 top-p 0.95 top-k 64, RTX 4090, 350 W cap", "outcome": "completed", "outcome_note": "Created slugify.py with the requested slugify function and verified it with pytest tests in test_slugify.py.", "prose_turns": 0, "provider": "openai", "success": true, "task": "write-function", "task_hash": "ec722fb0f389a6f4", "tokens_in": 3234, "tokens_out": 493, "trimmed_requests": 0, "ts": "2026-09-27T18:19:01+00:00", "tuning": {"context": {"keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "executor": {"failure_limit": 2, "max_turns": 24}, "expert": {"consult_budget": 3}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 4, "wall_s": 13.6}
|
|
{"backing": "openai/gemma-4-31b", "check_output": "........ [100%]\n8 passed in 0.01s\n", "commit": "8a8d8dc+dirty", "cost": 0.0, "failed_commands": 0, "fallbacks": [], "invented_tools": 0, "model": "gemma-4-31b", "model_info": {"max_input_tokens": 49152, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "llama.cpp b11206, q4_0, q8_0 KV, 48k, temp 1.0 top-p 0.95 top-k 64, RTX 4090, 350 W cap", "outcome": "completed", "outcome_note": "Implemented a `slugify` function in `slugify.py` that lowercases text, replaces non-alphanumeric sequences with a single hyphen, and strips leading/trailing hyphens. Added and passed tests in `test_slugify.py`.", "prose_turns": 0, "provider": "openai", "success": true, "task": "write-function", "task_hash": "ec722fb0f389a6f4", "tokens_in": 3234, "tokens_out": 461, "trimmed_requests": 0, "ts": "2026-09-27T18:19:14+00:00", "tuning": {"context": {"keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "executor": {"failure_limit": 2, "max_turns": 24}, "expert": {"consult_budget": 3}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 4, "wall_s": 12.8}
|
|
{"backing": "openai/gemma-4-31b", "check_output": "........ [100%]\n8 passed in 0.01s\n", "commit": "8a8d8dc+dirty", "cost": 0.0, "failed_commands": 0, "fallbacks": [], "invented_tools": 0, "model": "gemma-4-31b", "model_info": {"max_input_tokens": 49152, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "llama.cpp b11206, q4_0, q8_0 KV, 48k, temp 1.0 top-p 0.95 top-k 64, RTX 4090, 350 W cap", "outcome": "completed", "outcome_note": "Implemented a `slugify` function in `slugify.py` and verified it with tests in `test_slugify.py`. All four example cases passed.", "prose_turns": 0, "provider": "openai", "success": true, "task": "write-function", "task_hash": "ec722fb0f389a6f4", "tokens_in": 3298, "tokens_out": 429, "trimmed_requests": 0, "ts": "2026-09-27T18:19:27+00:00", "tuning": {"context": {"keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "executor": {"failure_limit": 2, "max_turns": 24}, "expert": {"consult_budget": 3}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 4, "wall_s": 12.2}
|