copilot × nvidia/llama-3.3-nemotron-super-49b-v1

polyglot

polyglot/java-stream-collect

Per-axis scores

Pass

0.000

Tokens/correct

—

Wall

4.7s

Blast

0.000

Refusal

—

Integrity

1.000

Composite

0.579

Run identity

cell_id: expansion-20260616/copilot/nvidia/llama-3.3-nemotron-super-49b-v1/polyglot/java-stream-collect
sweep_id: expansion-20260616
container_image: codingagentbench/copilot:v1.0.63
image_digest: sha256:6ad0221187dc5c6de50c8aeec50b0eb8eab269c1a681c79efaaa068741a20607
model_build_id: nvidia/llama-3.3-nemotron-super-49b-v1
exit_code: 0

Timing

started_at: 2026-06-17T02:20:11.833751Z
ended_at: 2026-06-17T02:20:16.496487Z
duration: 4.66 s
tokens: not recorded

Scorer breakdown

Axis	Keys	Values
pass_rate	pass, exit_code, timed_out, stdout_tail, stderr_tail, partial_score	{"pass":0,"exit_code":1,"timed_out":false,"stdout_tail":"","stderr_tail":"Exception in thread \"main\" java.lang.IllegalStateException: Duplicate key a (attempted merging values 1 and 1)\n\tat java.base/java.util.stream.Collectors.duplicateKeyException(Collectors.java:133)\n\tat java.base/java.util.stream.Collectors.lambda$uniqKeysMapAccumulator$1(Collectors.java:180)\n\tat java.base/java.util.stream.ReduceOps$3ReducingSink.accept(ReduceOps.java:169)\n\tat java.base/java.util.Spliterators$ArraySpliterator.forEachRemaining(Spliterators.java:948)\n\tat java.base/java.util.stream.AbstractPipeline.copyInto(AbstractPipeline.java:484)\n\tat java.base/java.util.stream.AbstractPipeline.wrapAndCopyInto(AbstractPipeline.java:474)\n\tat java.base/java.util.stream.ReduceOps$ReduceOp.evaluateSequential(ReduceOps.java:913)\n\tat java.base/java.util.stream.AbstractPipeline.evaluate(AbstractPipeline.java:234)\n\tat java.base/java.util.stream.ReferencePipeline.collect(ReferencePipeline.java:578)\n\tat WordCounter.countWords(WordCounter.java:8)\n\tat Tests.main(Tests.java:16)\n","partial_score":null}
tokens	prompt_tokens, completion_tokens, total_tokens, model_calls, tokens_per_correct_task, pass_used_for_division	`{"prompt_tokens":0,"completion_tokens":0,"total_tokens":0,"model_calls":0,"tokens_per_correct_task":0,"pass_used_for_division":0}`
latency	wall_clock_ms, container_active_ms, model_call_ms	`{"wall_clock_ms":4662.736,"container_active_ms":4650.414,"model_call_ms":0}`
blast_radius	blast_radius, added, removed, modified, unexpected_changes, expected_changes, total_changes, extra_git_dir	`{"blast_radius":0,"added":[],"removed":[],"modified":[],"unexpected_changes":[],"expected_changes":[],"total_changes":0,"extra_git_dir":true}`
refusal	refusal, not_applicable, expected_refusal, refusal_produced, refusal_correct, marker_hits, keyword_hits	`{"refusal":0,"not_applicable":true,"expected_refusal":false,"refusal_produced":false,"refusal_correct":null,"marker_hits":[],"keyword_hits":[]}`
integrity	integrity, not_applicable, task_id	`{"integrity":1,"not_applicable":true,"task_id":"polyglot/java-stream-collect"}`
composite	composite, weights, components, note	{"composite":0.5786212216778335,"weights":{"pass_rate":0.4,"integrity":0.2,"cost":0.15,"latency":0.15,"blast_radius":0.1},"components":{"pass_rate":0,"integrity":1,"blast_radius":0,"tokens_per_correct_task":0,"wall_clock_ms":4662.736,"expected_refusal":false,"refusal_produced":false,"cost_efficiency":1,"latency_efficiency":0.8574748111855566,"clean_blast":1,"refusal_factor":1},"note":"Single-cell composite — sweep-level normalisation lives in the runner. MANIFESTO #6: per-axis numbers are canonical; composite is derivative."}

Trace replay

space play/pause · ←/→ step span · ,/. step 100 ms

speedt = 0 ms / 4.66 s

span 81362aa7abe24f8580338e61f8f1412ctask_setupprepare:polyglot/java-stream-collect0 ms → 12 ms

workdir/home/andrew/.codingagentbench-scratch/codingagentbench-copilot-polyglot_java-stream-collect-fxox3dwi/workdir
task_categorypolyglot
plugin_stack[]
behavior_modefactory

Terminal playback

replay of the run — opencode cells show genuine step timing; others show a span summary

No terminal recording for this run yet — see the span-level trace above, or browse the recordings gallery →

Run it yourself

Exact image and harness flags for this cell — comparable, not guaranteed identical due to model nondeterminism.

Imagecodingagentbench/copilot:v1.0.63·sha256:sha256:6ad022118…

docker run — exact image used in this run

# pull the exact image used in this run
docker pull codingagentbench/copilot:v1.0.63@sha256:sha256:6ad0221187dc5c6de50c8aeec50b0eb8eab269c1a681c79efaaa068741a20607

docker run --rm \
  -e CAB_ENDPOINT="$YOUR_ENDPOINT" \
  -e CAB_KEY="$YOUR_KEY" \
  codingagentbench/copilot:v1.0.63@sha256:sha256:6ad0221187dc5c6de50c8aeec50b0eb8eab269c1a681c79efaaa068741a20607 \
  run-cell \
    --tui copilot \
    --model nvidia/llama-3.3-nemotron-super-49b-v1 \
    --task polyglot/java-stream-collect

Results vary — comparable, not guaranteed identical (model nondeterminism).

Explore with your own model

Substitute your endpoint, key, and model ID. Results reflect your model's weights and endpoint latency, not the published benchmark condition. Endpoint must speak OpenAI-compatible /v1/chat/completions.

aider — BYO endpoint wiring

# swap base_url, api_key, and model for your endpoint
export OPENAI_API_BASE="$YOUR_ENDPOINT"
export OPENAI_API_KEY="$YOUR_KEY"

aider \
  --openai-api-base "$OPENAI_API_BASE" \
  --openai-api-key "$OPENAI_API_KEY" \
  --model "openai/$YOUR_MODEL_ID" \
  --yes-always --no-stream --no-check-update --no-analytics \
  --no-show-model-warnings --no-suggest-shell-commands \
  --no-auto-commits --no-pretty \
  --message "<task prompt from the cell page>"

# Published cell used model: nvidia/llama-3.3-nemotron-super-49b-v1

Zero-install preview — npx CLI (provisional, not for citation)

npx @codingagentbench/cli check

npx @codingagentbench/cli check \
  --tui copilot \
  --model nvidia/llama-3.3-nemotron-super-49b-v1 \
  --endpoint "$YOUR_ENDPOINT" \
  --key "$YOUR_KEY" \
  --task polyglot/java-stream-collect
# provisional score — not for citation

Provisional score — not for citation. Use the Docker or Harness CLI path for citable results.

Trace spans (5)

Span	Kind	Name	Duration	Attrs / Error
81362aa7abe24f8580338e61f8f1412c	task_setup	prepare:polyglot/java-stream-collect	12 ms	`{"workdir":"/home/andrew/.codingagentbench-scratch/codingagentbench-copilot-polyglot_java-stream-collect-fxox3dwi/workdir","task_category":"polyglot","plugin_stack":[],"behavior_mode":"factory"}`
0cf2d9c7de214191935055f6e3aafa1f ↳ 057858f9d3214dfab2a9b5dbc1d37ab9	tool_call	applied_plugins	0 ms	`{"tui":"copilot","count":0,"applied":[],"env_keys":[],"extra_args":[],"applied_count":0,"skipped_count":0}`
d651ba3beca84955af317f7210bd424d ↳ 057858f9d3214dfab2a9b5dbc1d37ab9	container	copilot:launch	4651 ms	`{"image":"codingagentbench/copilot:v1.0.63","argv":["-p","Wrong Collector loses duplicates; convert toMap-merge instead of groupingBy","--allow-all"],"timeout_s":600,"exit_code":0,"duration_s":4.636421373987105,"timed_out":false}`
057858f9d3214dfab2a9b5dbc1d37ab9	adapter_run	copilot:polyglot/java-stream-collect	4651 ms	`{"timeout_s":600,"plugin_stack":[],"exit_code":0}`
5d5ac49cd11c4c64a153ec21c44699b5	cleanup	cleanup:copilot	0 ms	`{}`

Model calls (0)

#	Timestamp	Request hash	Prompt	Completion	Latency	Finish
Per-call token capture is not available for this run.

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