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

polyglot

polyglot/go-http-handler-fix

Per-axis scores

Pass

0.000

Tokens/correct

—

Wall

146.9s

Blast

1.000

Refusal

—

Integrity

1.000

Composite

0.418

Run identity

cell_id: free-20260527/plandex/nvidia/llama-3.3-nemotron-super-49b-v1/polyglot/go-http-handler-fix
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: 1

Timing

started_at: 2026-06-16T19:47:46.996380Z
ended_at: 2026-06-16T19:50:13.857878Z
duration: 146.86 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":"--- FAIL: TestGreet_MissingNameReturns400 (0.00s)\n handler_test.go:34: status: got 200 want 400\n--- FAIL: TestGreet_EmptyNameReturns400 (0.00s)\n handler_test.go:44: status: got 200 want 400\nFAIL\nFAIL\tcodingagentbench/gohttphandler\t0.005s\nFAIL\n","stderr_tail":"","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":146861.49800000002,"container_active_ms":146860.70200000002,"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/go-http-handler-fix"}`
composite	composite, weights, components, note	{"composite":0.4183210577978662,"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":146861.49800000002,"expected_refusal":false,"refusal_produced":false,"cost_efficiency":1,"latency_efficiency":0.45547371865244174,"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 / 146.86 s

span 8f1d02e17ef341beb2b840cd2608f064tool_callapplied_plugins0 ms → 1 ms

tuiplandex
count0
applied[]
env_keys[]
extra_args[]
applied_count0
skipped_count0

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/go-http-handler-fix

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/go-http-handler-fix
# 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
4f89fd8aecf64f40b0550e1187c426af	task_setup	prepare:polyglot/go-http-handler-fix	0 ms	`{"workdir":"/home/andrew/.codingagentbench-scratch/codingagentbench-plandex-polyglot_go-http-handler-fix-dsf9squ3/workdir","task_category":"polyglot","plugin_stack":[],"behavior_mode":"factory"}`
8f1d02e17ef341beb2b840cd2608f064 ↳ f7a4b83a48dc48fc9f6160fb826a6eaa	tool_call	applied_plugins	1 ms	`{"tui":"plandex","count":0,"applied":[],"env_keys":[],"extra_args":[],"applied_count":0,"skipped_count":0}`
96b1d11b67e64a63a00951fa324e6e8d ↳ 4ac03f8874c74ca8ada39fde32ab5ae2	container	plandex:phase=plan	0 ms	`{"phase":"plan","argv":["plandex","new","--name","codingagentbench-plan",";","plandex","tell","HTTP handler writes body before setting status code, locking the response to 200"],"kind":"plan-first"}`
f05d8010446748afa9a420e1a1962bac ↳ 4ac03f8874c74ca8ada39fde32ab5ae2	container	plandex:phase=execute	0 ms	`{"phase":"execute","argv":["plandex","build",";","plandex","apply"],"auto_confirm":true}`
4ac03f8874c74ca8ada39fde32ab5ae2 ↳ f7a4b83a48dc48fc9f6160fb826a6eaa	container	plandex:pipeline	146860 ms	`{"image":"codingagentbench/plandex:v2.2.1","timeout_s":600,"plan_phase_cmd":["plandex","new","--name","codingagentbench-plan",";","plandex","tell","HTTP handler writes body before setting status code, locking the response to 200"],"exec_phase_cmd":["plandex","build",";","plandex","apply"],"exit_code":1,"duration_s":146.84001096399152,"timed_out":false,"plan_phase_done":false,"execute_phase_done":false}`
f7a4b83a48dc48fc9f6160fb826a6eaa	adapter_run	plandex:polyglot/go-http-handler-fix	146861 ms	`{"timeout_s":600,"plugin_stack":[],"exit_code":1}`
346e8896821944ed907ead67f202910c	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 42%](https://codingagentbench.com/badge/plandex/nvidia/llama-3.3-nemotron-super-49b-v1/polyglot/go-http-handler-fix.svg)](https://codingagentbench.com/cell/plandex/nvidia/llama-3.3-nemotron-super-49b-v1/polyglot/go-http-handler-fix)

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