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CodingAgentBench

plandex × stepfun-ai/step-3.5-flash

polyglot
polyglot/java-stream-collect

Per-axis scores

Pass
0.000
Tokens/correct
—
Wall
90.3s
Blast
1.000
Refusal
—
Integrity
1.000
Composite
0.425

Run identity

cell_id
free-20260527/plandex/stepfun-ai/step-3.5-flash/polyglot/java-stream-collect
sweep_id
free-20260527
container_image
codingagentbench/plandex:v2.2.1
image_digest
sha256:d1d67c7f86699ccffd8fd7f6dca598ef449ca37bc377e42f7d1f0ef3cd4aaee2
model_build_id
stepfun-ai/step-3.5-flash
exit_code
0

Timing

started_at
2026-06-16T19:37:03.521053Z
ended_at
2026-06-16T19:38:33.771497Z
duration
90.25 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":90250.444,"container_active_ms":90249.09899999999,"model_call_ms":0}
blast_radius blast_radius, added, removed, modified, unexpected_changes, expected_changes, total_changes, extra_git_dir {"blast_radius":1,"added":[".plandex-v2/projects-v2.json"],"removed":[],"modified":[],"unexpected_changes":[".plandex-v2/projects-v2.json"],"expected_changes":[],"total_changes":1,"extra_git_dir":false}
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":0.4249592856860707,"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":1,"tokens_per_correct_task":0,"wall_clock_ms":90250.444,"expected_refusal":false,"refusal_produced":false,"cost_efficiency":1,"latency_efficiency":0.4997285712404717,"clean_blast":0,"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 / 90.25 s
span 0ada68cb867245df882895c1d64ab86ctask_setupprepare:polyglot/java-stream-collect0 ms → 0 ms
workdir/home/andrew/.codingagentbench-scratch/codingagentbench-plandex-polyglot_java-stream-collect-qaevu_kw/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/plandex:v2.2.1·sha256:sha256:d1d67c7f8…
docker run — exact image used in this run
# pull the exact image used in this run
docker pull codingagentbench/plandex:v2.2.1@sha256:sha256:d1d67c7f86699ccffd8fd7f6dca598ef449ca37bc377e42f7d1f0ef3cd4aaee2

docker run --rm \
  -e CAB_ENDPOINT="$YOUR_ENDPOINT" \
  -e CAB_KEY="$YOUR_KEY" \
  codingagentbench/plandex:v2.2.1@sha256:sha256:d1d67c7f86699ccffd8fd7f6dca598ef449ca37bc377e42f7d1f0ef3cd4aaee2 \
  run-cell \
    --tui plandex \
    --model stepfun-ai/step-3.5-flash \
    --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: stepfun-ai/step-3.5-flash
Zero-install preview — npx CLI (provisional, not for citation)
npx @codingagentbench/cli check
npx @codingagentbench/cli check \
  --tui plandex \
  --model stepfun-ai/step-3.5-flash \
  --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 (7)

Span Kind Name Duration Attrs / Error
0ada68cb867245df882895c1d64ab86c task_setup prepare:polyglot/java-stream-collect 0 ms {"workdir":"/home/andrew/.codingagentbench-scratch/codingagentbench-plandex-polyglot_java-stream-collect-qaevu_kw/workdir","task_category":"polyglot","plugin_stack":[],"behavior_mode":"factory"}
8bd508244ccc48dd9ff39d7740336eca ↳ d03de03f656a448a9e98a3daab9e9d65 tool_call applied_plugins 0 ms {"tui":"plandex","count":0,"applied":[],"env_keys":[],"extra_args":[],"applied_count":0,"skipped_count":0}
df1ae3d6ace7437c9f9f97800e45febd ↳ 62536861fcca4ee08123cc24d7cfe60e container plandex:phase=plan 0 ms {"phase":"plan","argv":["plandex","new","--name","codingagentbench-plan",";","plandex","tell","Wrong Collector loses duplicates; convert toMap-merge instead of groupingBy"],"kind":"plan-first"}
489c4337457d4e969e0e83e4f74bde9a ↳ 62536861fcca4ee08123cc24d7cfe60e container plandex:phase=execute 0 ms {"phase":"execute","argv":["plandex","build",";","plandex","apply"],"auto_confirm":true}
62536861fcca4ee08123cc24d7cfe60e ↳ d03de03f656a448a9e98a3daab9e9d65 container plandex:pipeline 90249 ms {"image":"codingagentbench/plandex:v2.2.1","timeout_s":600,"plan_phase_cmd":["plandex","new","--name","codingagentbench-plan",";","plandex","tell","Wrong Collector loses duplicates; convert toMap-merge instead of groupingBy"],"exec_phase_cmd":["plandex","build",";","plandex","apply"],"exit_code":0,"duration_s":90.22524010500638,"timed_out":false,"plan_phase_done":true,"execute_phase_done":true}
d03de03f656a448a9e98a3daab9e9d65 adapter_run plandex:polyglot/java-stream-collect 90249 ms {"timeout_s":600,"plugin_stack":[],"exit_code":0}
c792f737999a412ba08499d1bcfc4fa1 cleanup cleanup:plandex 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: plandex × stepfun-ai/step-3.5-flash 42%