dongarandClaude Opus 5.5
82f171c2f5
CI / checks (push) Skipped
CI / checks (pull_request) Successful in 1m16s
Five runs per task for qwen3.8-27b, qwen3.6-35b-a3b, gemma-4-31b, gemma-4-26b-a4b, gemma-4-12b, mimo-v2.6-9b and granite-4.2-8b, all served by llama.cpp b11206 through llama-swap. Every one passed 20 of 20. local-fast (vLLM 0.30.0) passed 3 of 20. Runs were made under a 350 W power cap, recorded in each note, after the uncapped card throttled for heat. granite-4.2-8b also has one uncapped set, kept apart by its note. Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
41 lines
53 KiB
JSON
41 lines
53 KiB
JSON
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{"backing": "openai/granite-4.2-8b", "check_output": "...... [100%]\n6 passed in 0.01s\n", "commit": "8a8d8dc", "cost": 0.0, "failed_commands": 1, "fallbacks": [], "invented_tools": 0, "model": "granite-4.2-8b", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": false}, "note": "llama.cpp b11206, Q6_K, q8_0 KV, 128k, temp 1.0 top-p 0.95, RTX 4090", "outcome": "completed", "outcome_note": "Fixed total_value in inventory.py to multiply unit_price by quantity for each item, making tests pass.", "prose_turns": 0, "provider": "openai", "success": true, "task": "fix-bug", "task_hash": "b78248aff00ddc39", "tokens_in": 6196, "tokens_out": 681, "trimmed_requests": 0, "ts": "2026-09-27T17:17:31+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": 5, "wall_s": 7.5}
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{"backing": "openai/granite-4.2-8b", "check_output": "...... [100%]\n6 passed in 0.01s\n", "commit": "8a8d8dc", "cost": 0.0, "failed_commands": 1, "fallbacks": [], "invented_tools": 0, "model": "granite-4.2-8b", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": false}, "note": "llama.cpp b11206, Q6_K, q8_0 KV, 128k, temp 1.0 top-p 0.95, RTX 4090", "outcome": "completed", "outcome_note": "Fixed total_value in inventory.py to multiply unit_price by quantity for each item, passing all tests.", "prose_turns": 0, "provider": "openai", "success": true, "task": "fix-bug", "task_hash": "b78248aff00ddc39", "tokens_in": 7614, "tokens_out": 721, "trimmed_requests": 0, "ts": "2026-09-27T17:17:57+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": 7.9}
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{"backing": "openai/granite-4.2-8b", "check_output": "........................................................................ [ 23%]\n........................................................................ [ 47%]\n........................................................................ [ 71%]\n........................................................................ [ 95%]\n............. [100%]\n301 passed in 0.20s\n", "commit": "8a8d8dc", "cost": 0.0, "failed_commands": 1, "fallbacks": [], "invented_tools": 0, "model": "granite-4.2-8b", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": false}, "note": "llama.cpp b11206, Q6_K, q8_0 KV, 128k, temp 1.0 top-p 0.95, RTX 4090", "outcome": "completed", "outcome_note": "Fixed the rate for region code R237 in rates.py from 0.21 to 0.12 (since 237 mod 25 = 12, 12/100 = 0.12). All tests pass.", "prose_turns": 0, "provider": "openai", "success": true, "task": "long-output", "task_hash": "8cfbf73fb6620613", "tokens_in": 23909, "tokens_out": 2327, "trimmed_requests": 0, "ts": "2026-09-27T17:18:23+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": 25.8}
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{"backing": "openai/granite-4.2-8b", "check_output": "........................................................................ [ 23%]\n........................................................................ [ 47%]\n........................................................................ [ 71%]\n........................................................................ [ 95%]\n............. [100%]\n301 passed in 0.20s\n", "commit": "8a8d8dc", "cost": 0.0, "failed_commands": 1, "fallbacks": [], "invented_tools": 0, "model": "granite-4.2-8b", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": false}, "note": "llama.cpp b11206, Q6_K, q8_0 KV, 128k, temp 1.0 top-p 0.95, RTX 4090", "outcome": "completed", "outcome_note": "Fixed the rate for region code R237 from 0.21 to 0.12 (since 237 mod 25 = 12, i.e., 0.12). All tests pass.", "prose_turns": 0, "provider": "openai", "success": true, "task": "long-output", "task_hash": "8cfbf73fb6620613", "tokens_in": 33528, "tokens_out": 4836, "trimmed_requests": 0, "ts": "2026-09-27T17:19:16+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": 6, "wall_s": 52.4}
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{"backing": "openai/granite-4.2-8b", "check_output": "........................................................................ [ 23%]\n........................................................................ [ 47%]\n........................................................................ [ 71%]\n........................................................................ [ 95%]\n............. [100%]\n301 passed in 0.20s\n", "commit": "8a8d8dc", "cost": 0.0, "failed_commands": 1, "fallbacks": [], "invented_tools": 0, "model": "granite-4.2-8b", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": false}, "note": "llama.cpp b11206, Q6_K, q8_0 KV, 128k, temp 1.0 top-p 0.95, RTX 4090", "outcome": "completed", "outcome_note": "Fixed the single wrong rate entry for region code R237. Changed from 0.21 to 0.12 (since 237 mod 25 = 12, 12/100 = 0.12). All tests now pass.", "prose_turns": 0, "provider": "openai", "success": true, "task": "long-output", "task_hash": "8cfbf73fb6620613", "tokens_in": 31300, "tokens_out": 4765, "trimmed_requests": 0, "ts": "2026-09-27T17:20:08+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": 8, "wall_s": 51.3}
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{"backing": "openai/granite-4.2-8b", "check_output": "........................................................................ [ 23%]\n........................................................................ [ 47%]\n........................................................................ [ 71%]\n........................................................................ [ 95%]\n............. [100%]\n301 passed in 0.20s\n", "commit": "8a8d8dc", "cost": 0.0, "failed_commands": 1, "fallbacks": [], "invented_tools": 0, "model": "granite-4.2-8b", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": false}, "note": "llama.cpp b11206, Q6_K, q8_0 KV, 128k, temp 1.0 top-p 0.95, RTX 4090", "outcome": "completed", "outcome_note": "Fixed the one wrong entry in the rate table: region code R237 had value 0.21, should be (237 mod 25) / 100 = 12 / 100 = 0.12. Changed the value in rates.py accordingly. All tests now pass.", "prose_turns": 0, "provider": "openai", "success": true, "task": "long-output", "task_hash": "8cfbf73fb6620613", "tokens_in": 33528, "tokens_out": 4596, "trimmed_requests": 0, "ts": "2026-09-27T17:20:59+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": 6, "wall_s": 50.2}
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{"backing": "openai/granite-4.2-8b", "check_output": "........................................................................ [ 23%]\n........................................................................ [ 47%]\n........................................................................ [ 71%]\n........................................................................ [ 95%]\n............. [100%]\n301 passed in 0.20s\n", "commit": "8a8d8dc", "cost": 0.0, "failed_commands": 1, "fallbacks": [], "invented_tools": 0, "model": "granite-4.2-8b", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": false}, "note": "llama.cpp b11206, Q6_K, q8_0 KV, 128k, temp 1.0 top-p 0.95, RTX 4090", "outcome": "completed", "outcome_note": "Fixed the rate for region code R237 in rates.py. The correct rate should be (237 mod 25)/100 = 12/100 = 0.12, but it was incorrectly set to 0.21. Changed the value from 0.21 to 0.12. All 300 tests now pass.", "prose_turns": 0, "provider": "openai", "success": true, "task": "long-output", "task_hash": "8cfbf73fb6620613", "tokens_in": 23254, "tokens_out": 4940, "trimmed_requests": 0, "ts": "2026-09-27T17:21:52+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": 53.0}
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{"backing": "openai/granite-4.2-8b", "check_output": "..... [100%]\n5 passed in 0.04s\n", "commit": "8a8d8dc", "cost": 0.0, "failed_commands": 0, "fallbacks": [], "invented_tools": 0, "model": "granite-4.2-8b", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": false}, "note": "llama.cpp b11206, Q6_K, q8_0 KV, 128k, temp 1.0 top-p 0.95, RTX 4090", "outcome": "completed", "outcome_note": "Added --shout option to greeter: updated greet in core.py to accept shout=False, upper-cased output when True; added --shout flag in cli.py; added two tests (one for greet with shout=True, one for CLI with --shout). All tests pass and CLI works as expected.", "prose_turns": 0, "provider": "openai", "success": true, "task": "multi-file", "task_hash": "76bc0dcf36a72599", "tokens_in": 18519, "tokens_out": 1737, "trimmed_requests": 0, "ts": "2026-09-27T17:22:11+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": 12, "wall_s": 18.2}
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{"backing": "openai/granite-4.2-8b", "check_output": "..... [100%]\n5 passed in 0.04s\n", "commit": "8a8d8dc", "cost": 0.0, "failed_commands": 1, "fallbacks": [], "invented_tools": 0, "model": "granite-4.2-8b", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": false}, "note": "llama.cpp b11206, Q6_K, q8_0 KV, 128k, temp 1.0 top-p 0.95, RTX 4090", "outcome": "completed", "outcome_note": "Added --shout option to greeter: updated core.greet to accept shout=False and uppercase the name when True; updated cli.py to add --shout flag and pass it to greet; added two tests for shout behavior (one for core.greet, one for CLI via capsys); all tests pass and CLI prints 'HELLO, BOB!' when using --shout.", "prose_turns": 0, "provider": "openai", "success": true, "task": "multi-file", "task_hash": "76bc0dcf36a72599", "tokens_in": 25055, "tokens_out": 2097, "trimmed_requests": 0, "ts": "2026-09-27T17:22:56+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": 14, "wall_s": 21.9}
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{"backing": "openai/granite-4.2-8b", "check_output": "..... [100%]\n5 passed in 0.04s\n", "commit": "8a8d8dc", "cost": 0.0, "failed_commands": 0, "fallbacks": [], "invented_tools": 0, "model": "granite-4.2-8b", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": false}, "note": "llama.cpp b11206, Q6_K, q8_0 KV, 128k, temp 1.0 top-p 0.95, RTX 4090", "outcome": "completed", "outcome_note": "Added --shout option to greeter: core.greet now takes shout=False; cli adds --shout flag; tests added for both core and cli shout behavior; all tests pass and command works.", "prose_turns": 0, "provider": "openai", "success": true, "task": "multi-file", "task_hash": "76bc0dcf36a72599", "tokens_in": 18240, "tokens_out": 2766, "trimmed_requests": 0, "ts": "2026-09-27T17:23:24+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": 12, "wall_s": 27.8}
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{"backing": "openai/granite-4.2-8b", "check_output": "..... [100%]\n5 passed in 0.04s\n", "commit": "8a8d8dc", "cost": 0.0, "failed_commands": 0, "fallbacks": [], "invented_tools": 0, "model": "granite-4.2-8b", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": false}, "note": "llama.cpp b11206, Q6_K, q8_0 KV, 128k, temp 1.0 top-p 0.95, RTX 4090", "outcome": "completed", "outcome_note": "Successfully added --shout option to greeter. Modified core.py to accept shout=bool and return uppercase when True. Modified cli.py to add --shout flag and pass it to greet. Added two tests for greet(shout=True) and main([\"--shout\", \"Bob\"]). All tests pass and the CLI works as expected.", "prose_turns": 0, "provider": "openai", "success": true, "task": "multi-file", "task_hash": "76bc0dcf36a72599", "tokens_in": 21491, "tokens_out": 2173, "trimmed_requests": 0, "ts": "2026-09-27T17:23:47+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": 13, "wall_s": 22.2}
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{"backing": "openai/granite-4.2-8b", "check_output": "........ [100%]\n8 passed in 0.01s\n", "commit": "8a8d8dc", "cost": 0.0, "failed_commands": 0, "fallbacks": [], "invented_tools": 0, "model": "granite-4.2-8b", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": false}, "note": "llama.cpp b11206, Q6_K, q8_0 KV, 128k, temp 1.0 top-p 0.95, RTX 4090", "outcome": "completed", "outcome_note": "Created slugify.py with slugify function that lowercases text, replaces runs of non-alnum with a single hyphen, and strips hyphens from both ends. Created test_slugify.py with pytest tests covering the four required examples and additional edge cases. All tests pass.", "prose_turns": 0, "provider": "openai", "success": true, "task": "write-function", "task_hash": "ec722fb0f389a6f4", "tokens_in": 10388, "tokens_out": 4091, "trimmed_requests": 0, "ts": "2026-09-27T17:24:28+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": 7, "wall_s": 40.5}
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{"backing": "openai/granite-4.2-8b", "check_output": "........ [100%]\n8 passed in 0.01s\n", "commit": "8a8d8dc", "cost": 0.0, "failed_commands": 0, "fallbacks": [], "invented_tools": 0, "model": "granite-4.2-8b", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": false}, "note": "llama.cpp b11206, Q6_K, q8_0 KV, 128k, temp 1.0 top-p 0.95, RTX 4090", "outcome": "completed", "outcome_note": "Added slugify.py with slugify(text: str) -> str that lowercases, replaces non-alphanumeric runs with single hyphens, and strips hyphens from both ends. Created test_slugify.py with pytest tests covering the four examples, all passing.", "prose_turns": 0, "provider": "openai", "success": true, "task": "write-function", "task_hash": "ec722fb0f389a6f4", "tokens_in": 5479, "tokens_out": 2510, "trimmed_requests": 0, "ts": "2026-09-27T17:24:53+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": 24.8}
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{"backing": "openai/granite-4.2-8b", "check_output": "........ [100%]\n8 passed in 0.01s\n", "commit": "8a8d8dc", "cost": 0.0, "failed_commands": 0, "fallbacks": [], "invented_tools": 0, "model": "granite-4.2-8b", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": false}, "note": "llama.cpp b11206, Q6_K, q8_0 KV, 128k, temp 1.0 top-p 0.95, RTX 4090", "outcome": "completed", "outcome_note": "Created slugify.py with slugify function that lowercases, replaces runs of non-alphanumeric with hyphens, and strips hyphens from ends. Created test_slugify.py with four tests covering the examples. All tests pass.", "prose_turns": 0, "provider": "openai", "success": true, "task": "write-function", "task_hash": "ec722fb0f389a6f4", "tokens_in": 5576, "tokens_out": 1993, "trimmed_requests": 0, "ts": "2026-09-27T17:25:13+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": 19.8}
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{"backing": "openai/granite-4.2-8b", "check_output": "........ [100%]\n8 passed in 0.01s\n", "commit": "8a8d8dc", "cost": 0.0, "failed_commands": 0, "fallbacks": [], "invented_tools": 0, "model": "granite-4.2-8b", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": false}, "note": "llama.cpp b11206, Q6_K, q8_0 KV, 128k, temp 1.0 top-p 0.95, RTX 4090", "outcome": "completed", "outcome_note": "Added slugify function in slugify.py that lowercases text, replaces non-alphanumeric runs with a single hyphen, and strips hyphens from ends. Created test_slugify.py with four tests covering examples, all passing.", "prose_turns": 0, "provider": "openai", "success": true, "task": "write-function", "task_hash": "ec722fb0f389a6f4", "tokens_in": 5642, "tokens_out": 1941, "trimmed_requests": 0, "ts": "2026-09-27T17:25:32+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": 19.3}
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{"backing": "openai/granite-4.2-8b", "check_output": "........ [100%]\n8 passed in 0.01s\n", "commit": "8a8d8dc", "cost": 0.0, "failed_commands": 0, "fallbacks": [], "invented_tools": 0, "model": "granite-4.2-8b", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": false}, "note": "llama.cpp b11206, Q6_K, q8_0 KV, 128k, temp 1.0 top-p 0.95, RTX 4090", "outcome": "completed", "outcome_note": "Added slugify function in slugify.py that lowercases text, replaces runs of non-alphanumeric characters with a single hyphen, and strips hyphens from ends. Created test_slugify.py with pytest tests covering the four examples; all tests pass.", "prose_turns": 0, "provider": "openai", "success": true, "task": "write-function", "task_hash": "ec722fb0f389a6f4", "tokens_in": 5677, "tokens_out": 2688, "trimmed_requests": 0, "ts": "2026-09-27T17:25:59+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": 26.6}
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{"backing": "openai/granite-4.2-8b", "check_output": "...... [100%]\n6 passed in 0.01s\n", "commit": "8a8d8dc+dirty", "cost": 0.0, "failed_commands": 1, "fallbacks": [], "invented_tools": 0, "model": "granite-4.2-8b", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": false}, "note": "llama.cpp b11206, Q6_K, q8_0 KV, 128k, temp 1.0 top-p 0.95, RTX 4090, 350 W cap", "outcome": "completed", "outcome_note": "Fixed total_value function in inventory.py by multiplying unit_price by quantity for each item. Tests now pass.", "prose_turns": 0, "provider": "openai", "success": true, "task": "fix-bug", "task_hash": "b78248aff00ddc39", "tokens_in": 6191, "tokens_out": 532, "trimmed_requests": 0, "ts": "2026-09-27T18:20:29+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": 5, "wall_s": 6.1}
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{"backing": "openai/granite-4.2-8b", "check_output": "...... [100%]\n6 passed in 0.01s\n", "commit": "8a8d8dc+dirty", "cost": 0.0, "failed_commands": 1, "fallbacks": [], "invented_tools": 0, "model": "granite-4.2-8b", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": false}, "note": "llama.cpp b11206, Q6_K, q8_0 KV, 128k, temp 1.0 top-p 0.95, RTX 4090, 350 W cap", "outcome": "completed", "outcome_note": "Fixed total_value function in inventory.py to multiply unit_price by quantity for each item, making it sum unit_price * quantity instead of just unit_price. Tests now pass.", "prose_turns": 0, "provider": "openai", "success": true, "task": "fix-bug", "task_hash": "b78248aff00ddc39", "tokens_in": 6191, "tokens_out": 776, "trimmed_requests": 0, "ts": "2026-09-27T18:20:38+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": 8.4}
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{"backing": "openai/granite-4.2-8b", "check_output": "...... [100%]\n6 passed in 0.01s\n", "commit": "8a8d8dc+dirty", "cost": 0.0, "failed_commands": 1, "fallbacks": [], "invented_tools": 0, "model": "granite-4.2-8b", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": false}, "note": "llama.cpp b11206, Q6_K, q8_0 KV, 128k, temp 1.0 top-p 0.95, RTX 4090, 350 W cap", "outcome": "completed", "outcome_note": "Fixed total_value function in inventory.py to multiply unit_price by quantity for each item, then summed. Both tests now pass.", "prose_turns": 0, "provider": "openai", "success": true, "task": "fix-bug", "task_hash": "b78248aff00ddc39", "tokens_in": 6191, "tokens_out": 539, "trimmed_requests": 0, "ts": "2026-09-27T18:20:44+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": 5, "wall_s": 6.1}
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{"backing": "openai/granite-4.2-8b", "check_output": "...... [100%]\n6 passed in 0.01s\n", "commit": "8a8d8dc+dirty", "cost": 0.0, "failed_commands": 1, "fallbacks": [], "invented_tools": 0, "model": "granite-4.2-8b", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": false}, "note": "llama.cpp b11206, Q6_K, q8_0 KV, 128k, temp 1.0 top-p 0.95, RTX 4090, 350 W cap", "outcome": "completed", "outcome_note": "Fixed total_value function to multiply unit_price by quantity for each item, matching the docstring and test expectation. All tests pass.", "prose_turns": 0, "provider": "openai", "success": true, "task": "fix-bug", "task_hash": "b78248aff00ddc39", "tokens_in": 6186, "tokens_out": 728, "trimmed_requests": 0, "ts": "2026-09-27T18:20:53+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": 7.9}
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{"backing": "openai/granite-4.2-8b", "check_output": "...... [100%]\n6 passed in 0.01s\n", "commit": "8a8d8dc+dirty", "cost": 0.0, "failed_commands": 1, "fallbacks": [], "invented_tools": 0, "model": "granite-4.2-8b", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": false}, "note": "llama.cpp b11206, Q6_K, q8_0 KV, 128k, temp 1.0 top-p 0.95, RTX 4090, 350 W cap", "outcome": "completed", "outcome_note": "Fixed total_value in inventory.py to multiply unit_price by quantity for each item, matching test expectation. All tests pass.", "prose_turns": 0, "provider": "openai", "success": true, "task": "fix-bug", "task_hash": "b78248aff00ddc39", "tokens_in": 7648, "tokens_out": 629, "trimmed_requests": 0, "ts": "2026-09-27T18:21:00+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": 7.1}
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{"backing": "openai/granite-4.2-8b", "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": "granite-4.2-8b", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": false}, "note": "llama.cpp b11206, Q6_K, q8_0 KV, 128k, temp 1.0 top-p 0.95, RTX 4090, 350 W cap", "outcome": "completed", "outcome_note": "Fixed the rate for region code R237 from 0.21 to 0.12 (since 237 mod 25 = 12). All tests pass.", "prose_turns": 0, "provider": "openai", "success": true, "task": "long-output", "task_hash": "8cfbf73fb6620613", "tokens_in": 23270, "tokens_out": 4031, "trimmed_requests": 0, "ts": "2026-09-27T18:21:44+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": 5, "wall_s": 43.6}
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{"backing": "openai/granite-4.2-8b", "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": "granite-4.2-8b", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": false}, "note": "llama.cpp b11206, Q6_K, q8_0 KV, 128k, temp 1.0 top-p 0.95, RTX 4090, 350 W cap", "outcome": "completed", "outcome_note": "Fixed the rate for region code R237 to (237 mod 25)/100 = 12/100 = 0.12.", "prose_turns": 0, "provider": "openai", "success": true, "task": "long-output", "task_hash": "8cfbf73fb6620613", "tokens_in": 16630, "tokens_out": 1453, "trimmed_requests": 0, "ts": "2026-09-27T18:22:01+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": 5, "wall_s": 16.6}
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{"backing": "openai/granite-4.2-8b", "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": "granite-4.2-8b", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": false}, "note": "llama.cpp b11206, Q6_K, q8_0 KV, 128k, temp 1.0 top-p 0.95, RTX 4090, 350 W cap", "outcome": "completed", "outcome_note": "Fixed the single wrong rate entry for region code R237 in rates.py. Changed value from 0.21 to 0.12 (since 237 mod 25 = 12). All 300 tests now pass.", "prose_turns": 0, "provider": "openai", "success": true, "task": "long-output", "task_hash": "8cfbf73fb6620613", "tokens_in": 23270, "tokens_out": 4556, "trimmed_requests": 0, "ts": "2026-09-27T18:22:51+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": 49.2}
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{"backing": "openai/granite-4.2-8b", "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": "granite-4.2-8b", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": false}, "note": "llama.cpp b11206, Q6_K, q8_0 KV, 128k, temp 1.0 top-p 0.95, 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 (since 237 mod 25 = 12, 12/100 = 0.12). All tests now pass.", "prose_turns": 0, "provider": "openai", "success": true, "task": "long-output", "task_hash": "8cfbf73fb6620613", "tokens_in": 16735, "tokens_out": 1593, "trimmed_requests": 0, "ts": "2026-09-27T18:23:09+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": 18.0}
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{"backing": "openai/granite-4.2-8b", "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": "granite-4.2-8b", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": false}, "note": "llama.cpp b11206, Q6_K, q8_0 KV, 128k, temp 1.0 top-p 0.95, RTX 4090, 350 W cap", "outcome": "completed", "outcome_note": "Fixed the rate for region code R237 from 0.21 to 0.12 (since 237 mod 25 = 12, divided by 100). All tests pass.", "prose_turns": 0, "provider": "openai", "success": true, "task": "long-output", "task_hash": "8cfbf73fb6620613", "tokens_in": 23188, "tokens_out": 5076, "trimmed_requests": 0, "ts": "2026-09-27T18:24:05+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": 55.1}
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{"backing": "openai/granite-4.2-8b", "check_output": "..... [100%]\n5 passed in 0.04s\n", "commit": "8a8d8dc+dirty", "cost": 0.0, "failed_commands": 1, "fallbacks": [], "invented_tools": 0, "model": "granite-4.2-8b", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": false}, "note": "llama.cpp b11206, Q6_K, q8_0 KV, 128k, temp 1.0 top-p 0.95, RTX 4090, 350 W cap", "outcome": "completed", "outcome_note": "Added --shout option to greeter: core.greet now accepts shout=bool=False and returns uppercase when True; cli.py adds --shout store_true flag and passes it to greet; tests added for both greet(shout=True) and main(['--shout', 'Bob']). All tests pass and CLI prints 'HELLO, BOB!' when --shout is used.", "prose_turns": 0, "provider": "openai", "success": true, "task": "multi-file", "task_hash": "76bc0dcf36a72599", "tokens_in": 24779, "tokens_out": 2576, "trimmed_requests": 0, "ts": "2026-09-27T18:24:32+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": 14, "wall_s": 26.9}
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{"backing": "openai/granite-4.2-8b", "check_output": "..... [100%]\n5 passed in 0.04s\n", "commit": "8a8d8dc+dirty", "cost": 0.0, "failed_commands": 0, "fallbacks": [], "invented_tools": 0, "model": "granite-4.2-8b", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": false}, "note": "llama.cpp b11206, Q6_K, q8_0 KV, 128k, temp 1.0 top-p 0.95, RTX 4090, 350 W cap", "outcome": "completed", "outcome_note": "Added --shout option to greeter. Modified core.greet to accept shout=False and return uppercase when True. Added --shout flag to CLI and passed it to greet. Added two tests: one for greet with shout=True and one for CLI with --shout flag. All tests pass and CLI output matches expected.", "prose_turns": 0, "provider": "openai", "success": true, "task": "multi-file", "task_hash": "76bc0dcf36a72599", "tokens_in": 14785, "tokens_out": 3312, "trimmed_requests": 0, "ts": "2026-09-27T18:25:05+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": 10, "wall_s": 33.1}
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{"backing": "openai/granite-4.2-8b", "check_output": "..... [100%]\n5 passed in 0.04s\n", "commit": "8a8d8dc+dirty", "cost": 0.0, "failed_commands": 0, "fallbacks": [], "invented_tools": 0, "model": "granite-4.2-8b", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": false}, "note": "llama.cpp b11206, Q6_K, q8_0 KV, 128k, temp 1.0 top-p 0.95, RTX 4090, 350 W cap", "outcome": "completed", "outcome_note": "Added --shout option to greeter: core.greet now accepts shout=bool default False and returns upper case when True; cli.py adds --shout flag and passes it; tests added for both greet and CLI; all tests pass and command prints correctly.", "prose_turns": 0, "provider": "openai", "success": true, "task": "multi-file", "task_hash": "76bc0dcf36a72599", "tokens_in": 18591, "tokens_out": 1921, "trimmed_requests": 0, "ts": "2026-09-27T18:25:25+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": 12, "wall_s": 19.8}
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{"backing": "openai/granite-4.2-8b", "check_output": "..... [100%]\n5 passed in 0.05s\n", "commit": "8a8d8dc+dirty", "cost": 0.0, "failed_commands": 0, "fallbacks": [], "invented_tools": 0, "model": "granite-4.2-8b", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": false}, "note": "llama.cpp b11206, Q6_K, q8_0 KV, 128k, temp 1.0 top-p 0.95, RTX 4090, 350 W cap", "outcome": "completed", "outcome_note": "Added --shout option to greeter. Updated greet function in core.py with shout parameter; updated cli.py to add --shout flag and pass it to greet; added two tests (one for greet with shout=True and one for CLI with --shout). All tests pass and CLI prints 'HELLO, BOB!' when invoked with --shout.", "prose_turns": 0, "provider": "openai", "success": true, "task": "multi-file", "task_hash": "76bc0dcf36a72599", "tokens_in": 18584, "tokens_out": 1434, "trimmed_requests": 0, "ts": "2026-09-27T18:25:41+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": 12, "wall_s": 15.2}
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{"backing": "openai/granite-4.2-8b", "check_output": "..... [100%]\n5 passed in 0.04s\n", "commit": "8a8d8dc+dirty", "cost": 0.0, "failed_commands": 0, "fallbacks": [], "invented_tools": 0, "model": "granite-4.2-8b", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": false}, "note": "llama.cpp b11206, Q6_K, q8_0 KV, 128k, temp 1.0 top-p 0.95, RTX 4090, 350 W cap", "outcome": "completed", "outcome_note": "Added --shout option to greeter: core.greet now takes shout=False keyword, cli adds --shout flag, tests added for both core and CLI, all tests pass and CLI works correctly.", "prose_turns": 0, "provider": "openai", "success": true, "task": "multi-file", "task_hash": "76bc0dcf36a72599", "tokens_in": 20462, "tokens_out": 1703, "trimmed_requests": 0, "ts": "2026-09-27T18:25:59+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": 13, "wall_s": 17.8}
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{"backing": "openai/granite-4.2-8b", "check_output": "........ [100%]\n8 passed in 0.01s\n", "commit": "8a8d8dc+dirty", "cost": 0.0, "failed_commands": 0, "fallbacks": [], "invented_tools": 0, "model": "granite-4.2-8b", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": false}, "note": "llama.cpp b11206, Q6_K, q8_0 KV, 128k, temp 1.0 top-p 0.95, RTX 4090, 350 W cap", "outcome": "completed", "outcome_note": "Successfully implemented slugify function in slugify.py that lowercases text, replaces every run of non-alphanumeric characters (a-z, 0-9) with a single hyphen, and strips hyphens from both ends. Created test_slugify.py with pytest tests for the four required examples and ran tests; all pass. Verified edge cases.", "prose_turns": 0, "provider": "openai", "success": true, "task": "write-function", "task_hash": "ec722fb0f389a6f4", "tokens_in": 30463, "tokens_out": 24495, "trimmed_requests": 0, "ts": "2026-09-27T18:30:05+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": 14, "wall_s": 245.6}
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{"backing": "openai/granite-4.2-8b", "check_output": "........ [100%]\n8 passed in 0.01s\n", "commit": "8a8d8dc+dirty", "cost": 0.0, "failed_commands": 0, "fallbacks": [], "invented_tools": 0, "model": "granite-4.2-8b", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": false}, "note": "llama.cpp b11206, Q6_K, q8_0 KV, 128k, temp 1.0 top-p 0.95, RTX 4090, 350 W cap", "outcome": "completed", "outcome_note": "Added slugify function in slugify.py using regex substitution to replace non-alnum characters with hyphens and strip hyphens from ends. Created test_slugify.py with four tests covering the examples. All tests pass.", "prose_turns": 0, "provider": "openai", "success": true, "task": "write-function", "task_hash": "ec722fb0f389a6f4", "tokens_in": 8921, "tokens_out": 6467, "trimmed_requests": 0, "ts": "2026-09-27T18:31:09+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": 7, "wall_s": 63.9}
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{"backing": "openai/granite-4.2-8b", "check_output": "........ [100%]\n8 passed in 0.01s\n", "commit": "8a8d8dc+dirty", "cost": 0.0, "failed_commands": 0, "fallbacks": [], "invented_tools": 0, "model": "granite-4.2-8b", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": false}, "note": "llama.cpp b11206, Q6_K, q8_0 KV, 128k, temp 1.0 top-p 0.95, RTX 4090, 350 W cap", "outcome": "completed", "outcome_note": "Created slugify.py with the required function, test_slugify.py with pytest tests for the four examples, and all tests pass.", "prose_turns": 0, "provider": "openai", "success": true, "task": "write-function", "task_hash": "ec722fb0f389a6f4", "tokens_in": 9089, "tokens_out": 3303, "trimmed_requests": 0, "ts": "2026-09-27T18:31:42+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": 7, "wall_s": 33.1}
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{"backing": "openai/granite-4.2-8b", "check_output": "........ [100%]\n8 passed in 0.01s\n", "commit": "8a8d8dc+dirty", "cost": 0.0, "failed_commands": 0, "fallbacks": [], "invented_tools": 0, "model": "granite-4.2-8b", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": false}, "note": "llama.cpp b11206, Q6_K, q8_0 KV, 128k, temp 1.0 top-p 0.95, RTX 4090, 350 W cap", "outcome": "completed", "outcome_note": "Created slugify.py with slugify function that lowercases text, replaces runs of non-alphanumeric characters with a single hyphen, and strips hyphens from both ends. Created test_slugify.py with pytest tests for the four examples. All tests pass.", "prose_turns": 0, "provider": "openai", "success": true, "task": "write-function", "task_hash": "ec722fb0f389a6f4", "tokens_in": 5948, "tokens_out": 1905, "trimmed_requests": 0, "ts": "2026-09-27T18:32:02+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": 5, "wall_s": 19.0}
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{"backing": "openai/granite-4.2-8b", "check_output": "........ [100%]\n8 passed in 0.01s\n", "commit": "8a8d8dc+dirty", "cost": 0.0, "failed_commands": 0, "fallbacks": [], "invented_tools": 0, "model": "granite-4.2-8b", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": false}, "note": "llama.cpp b11206, Q6_K, q8_0 KV, 128k, temp 1.0 top-p 0.95, RTX 4090, 350 W cap", "outcome": "completed", "outcome_note": "Added slugify function in slugify.py that lowercases text, replaces runs of non-alnum characters with a single hyphen, and strips hyphens from both ends. Created test_slugify.py with four tests covering the examples, and all tests pass.", "prose_turns": 0, "provider": "openai", "success": true, "task": "write-function", "task_hash": "ec722fb0f389a6f4", "tokens_in": 5551, "tokens_out": 2521, "trimmed_requests": 0, "ts": "2026-09-27T18:32:27+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": 5, "wall_s": 25.0}
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