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

polyglot

polyglot/python-palindrome-check

Per-axis scores

Pass

0.000

Tokens/correct

—

Wall

319.0s

Blast

1.000

Refusal

—

Integrity

1.000

Composite

0.410

Run identity

cell_id: free-20260527/plandex/nvidia/llama-3.3-nemotron-super-49b-v1/polyglot/python-palindrome-check
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: 2026-06-16T19:51:58.250900Z
ended_at: 2026-06-16T19:57:17.232674Z
duration: 318.98 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":"","stderr_tail":"test_palindrome (unittest.loader._FailedTest.test_palindrome) ... ERROR\n\n======================================================================\nERROR: test_palindrome (unittest.loader._FailedTest.test_palindrome)\n----------------------------------------------------------------------\nImportError: Failed to import test module: test_palindrome\nTraceback (most recent call last):\n File \"/home/andrew/.pyenv/versions/3.11.11/lib/python3.11/unittest/loader.py\", line 419, in _find_test_path\n module = self._get_module_from_name(name)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/andrew/.pyenv/versions/3.11.11/lib/python3.11/unittest/loader.py\", line 362, in _get_module_from_name\n __import__(name)\n File \"/home/andrew/.codingagentbench-scratch/codingagentbench-plandex-polyglot_python-palindrome-check-jbfri5hd/workdir/tests/test_palindrome.py\", line 36\n def test_single(self):\n ^^^\nIndentationError: expected an indented block after function definition on line 35\n\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nFAILED (errors=1)\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":318981.774,"container_active_ms":318981.055,"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":["tests/test_palindrome.py"],"unexpected_changes":[".plandex-v2/projects-v2.json","tests/test_palindrome.py"],"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/python-palindrome-check"}`
composite	composite, weights, components, note	{"composite":0.4095906873444014,"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":318981.774,"expected_refusal":false,"refusal_produced":false,"cost_efficiency":1,"latency_efficiency":0.39727124896267607,"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

speedt = 0 ms / 318.98 s

span 5b32cafd1f6c4df5adbae143736bfd24task_setupprepare:polyglot/python-palindrome-check0 ms → 1 ms

workdir/home/andrew/.codingagentbench-scratch/codingagentbench-plandex-polyglot_python-palindrome-check-jbfri5hd/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 nvidia/llama-3.3-nemotron-super-49b-v1 \
    --task polyglot/python-palindrome-check

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/python-palindrome-check
# 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
5b32cafd1f6c4df5adbae143736bfd24	task_setup	prepare:polyglot/python-palindrome-check	1 ms	`{"workdir":"/home/andrew/.codingagentbench-scratch/codingagentbench-plandex-polyglot_python-palindrome-check-jbfri5hd/workdir","task_category":"polyglot","plugin_stack":[],"behavior_mode":"factory"}`
b92a68f531e34c71aa96b43db8a849d3 ↳ f738e456c57f41038f8940338da3e3f5	tool_call	applied_plugins	0 ms	`{"tui":"plandex","count":0,"applied":[],"env_keys":[],"extra_args":[],"applied_count":0,"skipped_count":0}`
e57329fb6c6040cbb08284e9152536ce ↳ 3f5bf2410bae4ff59fd7790a4c36cfc1	container	plandex:phase=plan	0 ms	`{"phase":"plan","argv":["plandex","new","--name","codingagentbench-plan",";","plandex","tell","Detect palindromes, ignoring case and non-alphanumerics; current impl drops punctuation but not case"],"kind":"plan-first"}`
21853c723d1e4cc8869d62ecff4d5d4d ↳ 3f5bf2410bae4ff59fd7790a4c36cfc1	container	plandex:phase=execute	0 ms	`{"phase":"execute","argv":["plandex","build",";","plandex","apply"],"auto_confirm":true}`
3f5bf2410bae4ff59fd7790a4c36cfc1 ↳ f738e456c57f41038f8940338da3e3f5	container	plandex:pipeline	318981 ms	`{"image":"codingagentbench/plandex:v2.2.1","timeout_s":600,"plan_phase_cmd":["plandex","new","--name","codingagentbench-plan",";","plandex","tell","Detect palindromes, ignoring case and non-alphanumerics; current impl drops punctuation but not case"],"exec_phase_cmd":["plandex","build",";","plandex","apply"],"exit_code":0,"duration_s":318.9582643399772,"timed_out":false,"plan_phase_done":true,"execute_phase_done":true}`
f738e456c57f41038f8940338da3e3f5	adapter_run	plandex:polyglot/python-palindrome-check	318981 ms	`{"timeout_s":600,"plugin_stack":[],"exit_code":0}`
066368c3d1a94df28ad465c7e63d2b85	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%](https://codingagentbench.com/badge/plandex/nvidia/llama-3.3-nemotron-super-49b-v1/polyglot/python-palindrome-check.svg)](https://codingagentbench.com/cell/plandex/nvidia/llama-3.3-nemotron-super-49b-v1/polyglot/python-palindrome-check)

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