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CodingAgentBench

pi × meta/llama-3.3-70b-instruct

polyglot
polyglot/java-stream-collect

Per-axis scores

Pass
0.000
Tokens/correct
—
Wall
25.9s
Blast
0.000
Refusal
—
Integrity
1.000
Composite
0.546

Run identity

cell_id
expansion-20260616/pi/meta/llama-3.3-70b-instruct/polyglot/java-stream-collect
sweep_id
expansion-20260616
container_image
codingagentbench/pi:v0.73.1
image_digest
sha256:272792a5fb41b2290cf7f75c094471fc9bc9933cefdb77c68c5122bbfa2044e6
model_build_id
meta/llama-3.3-70b-instruct
exit_code
0

Timing

started_at
2026-06-17T03:27:10.503992Z
ended_at
2026-06-17T03:27:36.394272Z
duration
25.89 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":25890.28,"container_active_ms":25875.352,"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":0.5464644588347471,"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":25890.28,"expected_refusal":false,"refusal_produced":false,"cost_efficiency":1,"latency_efficiency":0.6430963922316478,"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
t = 0 ms / 25.89 s
span 167a55ad4d9148a589a2224477e1d25atask_setupprepare:polyglot/java-stream-collect0 ms → 14 ms
workdir/home/andrew/.codingagentbench-scratch/codingagentbench-pi-polyglot_java-stream-collect-j_ar7xm1/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/pi:v0.73.1·sha256:sha256:272792a5f…
docker run — exact image used in this run
# pull the exact image used in this run
docker pull codingagentbench/pi:v0.73.1@sha256:sha256:272792a5fb41b2290cf7f75c094471fc9bc9933cefdb77c68c5122bbfa2044e6

docker run --rm \
  -e CAB_ENDPOINT="$YOUR_ENDPOINT" \
  -e CAB_KEY="$YOUR_KEY" \
  codingagentbench/pi:v0.73.1@sha256:sha256:272792a5fb41b2290cf7f75c094471fc9bc9933cefdb77c68c5122bbfa2044e6 \
  run-cell \
    --tui pi \
    --model meta/llama-3.3-70b-instruct \
    --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: meta/llama-3.3-70b-instruct
Zero-install preview — npx CLI (provisional, not for citation)
npx @codingagentbench/cli check
npx @codingagentbench/cli check \
  --tui pi \
  --model meta/llama-3.3-70b-instruct \
  --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
167a55ad4d9148a589a2224477e1d25a task_setup prepare:polyglot/java-stream-collect 14 ms {"workdir":"/home/andrew/.codingagentbench-scratch/codingagentbench-pi-polyglot_java-stream-collect-j_ar7xm1/workdir","task_category":"polyglot","plugin_stack":[],"behavior_mode":"factory"}
fe654a3c2e624e5b94e416151f352ccc ↳ 3d8f25ea206a4bc191919855b7f331ba tool_call applied_plugins 0 ms {"tui":"pi","count":0,"applied":[],"env_keys":[],"extra_args":[],"applied_count":0,"skipped_count":0}
94a044907082419dbbd05541566eb754 ↳ 3d8f25ea206a4bc191919855b7f331ba container pi:launch 25876 ms {"image":"codingagentbench/pi:v0.73.1","argv":["--print","--no-session","--offline","--provider","nim","--model","meta/llama-3.3-70b-instruct","--api-key","sk-ijYE3GGIl2pTqBtwcCcuaIsZzYIIFrIWLMG3qmOK","Wrong Collector loses duplicates; convert toMap-merge instead of groupingBy"],"timeout_s":600,"exit_code":0,"duration_s":25.861266317981062,"timed_out":false}
3d8f25ea206a4bc191919855b7f331ba adapter_run pi:polyglot/java-stream-collect 25876 ms {"timeout_s":600,"plugin_stack":[],"exit_code":0}
659530cc051e4557b14b76f731e2b7ad cleanup cleanup:pi 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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CodingAgentBench: pi × meta/llama-3.3-70b-instruct 55%