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CodingAgentBench

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

polyglot
polyglot/java-exception-handling

Per-axis scores

Pass
0.000
Tokens/correct
—
Wall
203.0s
Blast
1.000
Refusal
—
Integrity
1.000
Composite
0.414

Run identity

cell_id
free-20260527/plandex/nvidia/llama-3.3-nemotron-super-49b-v1/polyglot/java-exception-handling
sweep_id
free-20260527
container_image
codingagentbench/plandex:v2.2.1
image_digest
sha256:d1d67c7f86699ccffd8fd7f6dca598ef449ca37bc377e42f7d1f0ef3cd4aaee2
model_build_id
nvidia/llama-3.3-nemotron-super-49b-v1
exit_code
0

Timing

started_at
2026-06-16T19:50:41.424377Z
ended_at
2026-06-16T19:54:04.408769Z
duration
202.98 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":"ok happy returns line\nok happy closes source\nok error propagated\n","stderr_tail":"FAIL error path closes source\n1 test(s) failed\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":202984.39200000002,"container_active_ms":202983.62999999998,"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","ExampleStreamUsage.java"],"removed":[],"modified":[],"unexpected_changes":[".plandex-v2/projects-v2.json","ExampleStreamUsage.java"],"expected_changes":[],"total_changes":2,"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-exception-handling"}
composite composite, weights, components, note {"composite":0.414423365524051,"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":202984.39200000002,"expected_refusal":false,"refusal_produced":false,"cost_efficiency":1,"latency_efficiency":0.4294891034936737,"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 / 202.98 s
span c3a57ca896434c6f8369ffdc0feb746cadapter_runplandex:polyglot/java-exception-handling0 ms → 202.98 s
timeout_s600
plugin_stack[]
exit_code0

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 nvidia/llama-3.3-nemotron-super-49b-v1 \
    --task polyglot/java-exception-handling

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 plandex \
  --model nvidia/llama-3.3-nemotron-super-49b-v1 \
  --endpoint "$YOUR_ENDPOINT" \
  --key "$YOUR_KEY" \
  --task polyglot/java-exception-handling
# 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
55b67e599af249e2ac39b892e186dd1d task_setup prepare:polyglot/java-exception-handling 0 ms {"workdir":"/home/andrew/.codingagentbench-scratch/codingagentbench-plandex-polyglot_java-exception-handling-384woemj/workdir","task_category":"polyglot","plugin_stack":[],"behavior_mode":"factory"}
d9571ea220fb4eb0a712638632610545 ↳ c3a57ca896434c6f8369ffdc0feb746c tool_call applied_plugins 0 ms {"tui":"plandex","count":0,"applied":[],"env_keys":[],"extra_args":[],"applied_count":0,"skipped_count":0}
15a744c3babf42b894aafd0ac5dbd262 ↳ 7e5124d93f2f4e708b2810db118ac5a2 container plandex:phase=plan 0 ms {"phase":"plan","argv":["plandex","new","--name","codingagentbench-plan",";","plandex","tell","Resource leak: stream not closed in error path; wrap in try-with-resources"],"kind":"plan-first"}
70454fea6447463985c7fad6212a0d46 ↳ 7e5124d93f2f4e708b2810db118ac5a2 container plandex:phase=execute 0 ms {"phase":"execute","argv":["plandex","build",";","plandex","apply"],"auto_confirm":true}
7e5124d93f2f4e708b2810db118ac5a2 ↳ c3a57ca896434c6f8369ffdc0feb746c container plandex:pipeline 202984 ms {"image":"codingagentbench/plandex:v2.2.1","timeout_s":600,"plan_phase_cmd":["plandex","new","--name","codingagentbench-plan",";","plandex","tell","Resource leak: stream not closed in error path; wrap in try-with-resources"],"exec_phase_cmd":["plandex","build",";","plandex","apply"],"exit_code":0,"duration_s":202.96323275499162,"timed_out":false,"plan_phase_done":true,"execute_phase_done":true}
c3a57ca896434c6f8369ffdc0feb746c adapter_run plandex:polyglot/java-exception-handling 202984 ms {"timeout_s":600,"plugin_stack":[],"exit_code":0}
2f9fb444ebe345cb85a44bf76a6e83cf 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 × nvidia/llama-3.3-nemotron-super-49b-v1 41%