conversations list | agent string | model string | model_provider string | date string | task string | episode string | run_id string | trial_name string | result string | instruction string | verifier_output string | prompt_token_ids list | completion_token_ids list | logprobs list |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[
{
"content": "",
"role": "user"
},
{
"content": "<think>Let me first read the test file to understand exactly what's expected, then implement the StyleUtils class.\n</think>\n\n\n\n<tool_call>\n{\"name\": \"read\", \"arguments\": {\"filePath\": \"/tests/TestSolution.java\"}}\n</tool_call>",
"rol... | opencode | vllm/4311610290566686 | vllm | 2026-07-06T01:21:41.429676Z | stack-junit-6427 | episode-6 | 4999a9f5-e281-4b48-954e-69f4abd83c55 | stack-junit-6427__84m3cXw | AgentTimeoutError | (tool use) | null | [] | [] | [] |
[{"content":"","role":"user"},{"content":"<think>Let me first read the test file to understand exact(...TRUNCATED) | opencode | vllm/4311610290566686 | vllm | 2026-07-06T01:08:56.516726Z | stack-junit-6606 | episode-12 | 4999a9f5-e281-4b48-954e-69f4abd83c55 | stack-junit-6606__v6Cy43T | 1.0 | "Based on the task description, I need to create the `StringExtensions` class in the package `org.ap(...TRUNCATED) | "Compiling...\nRunning tests...\n\nThanks for using JUnit! Support its development at https://junit.(...TRUNCATED) | [[248045,8678,198,2,13455,271,2523,599,2528,310,279,2614,5568,25,271,27,15449,29,198,4754,1267,763,3(...TRUNCATED) | [[9764,728,1118,1301,279,1228,999,310,3418,6681,1092,579,3481,11,1179,4072,279,894,30255,523,13,198,(...TRUNCATED) | [[-0.22378669679164886,-1.1920901954454166e-7,-0.8398385047912598,-0.22495652735233307,-7.7485556175(...TRUNCATED) |
[{"content":"","role":"user"},{"content":"<think>Let me start by understanding the task. I need to i(...TRUNCATED) | opencode | vllm/4311610290566686 | vllm | 2026-07-06T05:04:50.255370Z | stack-junit-3346 | episode-16 | 4999a9f5-e281-4b48-954e-69f4abd83c55 | stack-junit-3346__uvQ2z9M | 1.0 | "Based on the task description, I need to create the test file and all the source files. Let me crea(...TRUNCATED) | "Compiling...\nRunning tests...\n\nThanks for using JUnit! Support its development at https://junit.(...TRUNCATED) | [[248045,8678,198,2,13455,271,2523,599,2528,310,279,2614,5568,25,271,27,15449,29,198,4754,1267,763,3(...TRUNCATED) | [[9764,728,1151,539,8396,279,3274,13,353,1144,310,4072,7693,7916,1172,36066,658,14,63,748,421,279,60(...TRUNCATED) | [[-0.1592499166727066,0.0,-1.70533287525177,-4.053098564327229e-6,-0.3872561752796173,-0.07893959432(...TRUNCATED) |
[{"content":"","role":"user"},{"content":"<think>I need to first examine the test file to understand(...TRUNCATED) | opencode | vllm/4311610290566686 | vllm | 2026-07-06T06:43:44.814910Z | stack-junit-1479 | episode-18 | 4999a9f5-e281-4b48-954e-69f4abd83c55 | stack-junit-1479__fkjSDRK | 0.0 | "The `/app/` directory is empty and there's no test file yet. Based on the task description, I need (...TRUNCATED) | "Compiling...\n/tests/ArgumentTest.java:305: error: exception XTCEDatabaseException is never thrown (...TRUNCATED) | [[248045,8678,198,2,13455,271,2523,599,2528,310,279,2614,5568,25,271,27,15449,29,198,4754,1267,763,3(...TRUNCATED) | [[40,1144,310,1118,20321,279,1228,999,310,3418,6681,1092,279,6813,1660,1518,24141,279,6093,13,198,24(...TRUNCATED) | [[-0.30212682485580444,-0.0005698958993889391,-0.00005912591586820781,-0.25629034638404846,-1.628587(...TRUNCATED) |
[{"content":"","role":"user"},{"content":"<think>Let me understand the task:\n\n1. I need to impleme(...TRUNCATED) | opencode | vllm/4311610290566686 | vllm | 2026-07-06T03:09:49.875440Z | stack-junit-5051 | episode-39 | 4999a9f5-e281-4b48-954e-69f4abd83c55 | stack-junit-5051__bU7Nhq5 | AgentTimeoutError | "I'll start by reading the test file to understand the exact requirements, then implement the soluti(...TRUNCATED) | "Compiling...\nRunning tests...\n\nThanks for using JUnit! Support its development at https://junit.(...TRUNCATED) | [] | [] | [] |
[{"content":"","role":"user"},{"content":"<think>I need to first read the test file to understand ex(...TRUNCATED) | opencode | vllm/4311610290566686 | vllm | 2026-07-06T00:46:37.105679Z | stack-junit-6874 | episode-1 | 4999a9f5-e281-4b48-954e-69f4abd83c55 | stack-junit-6874__AqYV4XS | AgentTimeoutError | null | null | [[248045,8678,198,2,13455,271,2523,599,2528,310,279,2614,5568,25,271,27,15449,29,198,4754,1267,763,3(...TRUNCATED) | [[40,1144,310,1118,1301,279,1228,999,310,3418,6681,1092,279,1228,23535,11,1179,4072,279,6093,26211,1(...TRUNCATED) | [[-0.5100533962249756,-0.000023007065465208143,-0.000020026916899951175,-0.26183614134788513,-0.1842(...TRUNCATED) |
[{"content":"","role":"user"},{"content":"<think>Let me analyze this task. I need to implement a Che(...TRUNCATED) | opencode | vllm/4311610290566686 | vllm | 2026-07-06T07:13:05.952516Z | stack-junit-0968 | episode-19 | 4999a9f5-e281-4b48-954e-69f4abd83c55 | stack-junit-0968__3nonZEo | AgentTimeoutError | "Based on the task description, I need to create the test file and the ChecksumUtils implementation.(...TRUNCATED) | "Compiling...\n/app/io/redlink/utils/ChecksumUtilsTest.java:18: error: duplicate class: io.redlink.u(...TRUNCATED) | [] | [] | [] |
[{"content":"","role":"user"},{"content":"<think>The user wants me to implement Java sources to make(...TRUNCATED) | opencode | vllm/4311610290566686 | vllm | 2026-07-06T00:30:44.112858Z | stack-junit-7158 | episode-19 | 4999a9f5-e281-4b48-954e-69f4abd83c55 | stack-junit-7158__Kgci3Et | AgentTimeoutError | (tool use) | "Compiling...\nRunning tests...\n\nThanks for using JUnit! Support its development at https://junit.(...TRUNCATED) | [] | [] | [] |
[{"content":"","role":"user"},{"content":"<think>The user wants me to implement a Java class `ListRo(...TRUNCATED) | opencode | vllm/4311610290566686 | vllm | 2026-07-06T01:22:36.492149Z | stack-junit-6410 | episode-21 | 4999a9f5-e281-4b48-954e-69f4abd83c55 | stack-junit-6410__bc5Qser | AgentTimeoutError | "Based on the task description, I need to create the `ListRouteValue` class in the correct package s(...TRUNCATED) | null | [[248045,8678,198,2,13455,271,2523,599,2528,310,279,2614,5568,25,271,27,15449,29,198,4754,1267,763,3(...TRUNCATED) | [[760,1156,6587,728,310,4072,264,7693,523,1510,826,4740,1094,3025,42181,421,668,1236,279,604,4413,12(...TRUNCATED) | [[-0.8043486475944519,-0.0054226466454565525,-0.0008145815809257329,-1.7881341136671836e-6,0.0,-0.00(...TRUNCATED) |
[{"content":"","role":"user"},{"content":"<think>Let me analyze the task:\n\n1. I need to implement (...TRUNCATED) | opencode | vllm/4311610290566686 | vllm | 2026-07-05T22:23:36.724120Z | stack-junit-9520 | episode-6 | 4999a9f5-e281-4b48-954e-69f4abd83c55 | stack-junit-9520__pUCHR43 | 1.0 | "Based on the task description, I need to create the `ContainerType` enum in the package `net.contar(...TRUNCATED) | "Compiling...\nRunning tests...\n\nThanks for using JUnit! Support its development at https://junit.(...TRUNCATED) | [[248045,8678,198,2,13455,271,2523,599,2528,310,279,2614,5568,25,271,27,15449,29,198,4754,1267,763,3(...TRUNCATED) | [[9764,728,22903,279,3274,25,271,16,13,353,1144,310,4072,264,7693,7376,1510,4354,900,63,303,6129,151(...TRUNCATED) | [[-0.412466436624527,-1.1920901954454166e-7,-1.0751789808273315,-0.2560422122478485,-0.2176925390958(...TRUNCATED) |
End of preview. Expand in Data Studio
Agent trace dataset
Decoding the literal token IDs
The prompt_token_ids / completion_token_ids / logprobs columns are the
verbatim tokens the serving engine emitted, stored PER AGENT STEP as a
list-of-lists (one inner list per turn). To turn them back into text you MUST
use the exact tokenizer the model was served with — a generic same-family
tokenizer will decode word tokens to garbage.
Served model / tokenizer source: Qwen/Qwen3.5-122B-A10B-FP8
from transformers import AutoTokenizer
# Use the served model's own tokenizer (pull from the ref above; if it is a
# gs:// mirror, copy tokenizer.json/tokenizer_config.json/vocab.json/merges.txt
# locally first and point AutoTokenizer at that dir).
tok = AutoTokenizer.from_pretrained("Qwen/Qwen3.5-122B-A10B-FP8")
# token_ids are list-of-lists (one list per turn) — decode each turn:
text = [tok.decode(turn, skip_special_tokens=False) for turn in completion_token_ids]
Engine-reported served model name: 4311610290566686
See tokenizer_provenance.json for a machine-readable version.
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