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CodingAgentBench

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

polyglot
polyglot/go-http-handler-fix

Per-axis scores

Pass
0.000
Tokens/correct
Wall
49.5s
Blast
0.909
Refusal
Integrity
1.000
Composite
0.444

Run identity

cell_id
free-20260527/aider/nvidia/llama-3.3-nemotron-super-49b-v1/polyglot/go-http-handler-fix#run1
sweep_id
free-20260527
container_image
codingagentbench/aider:v0.86.0
image_digest
sha256:f2cd27890475900f9cb617b1c7a6328989a48e8168e7280ac2247a5d2d26d8a1
model_build_id
nvidia/llama-3.3-nemotron-super-49b-v1
exit_code
0

Timing

started_at
2026-05-29T12:44:32.237864Z
ended_at
2026-05-29T12:45:21.730207Z
duration
49.49 s
prompt_tokens
1,500
completion_tokens
355
tokens source
TUI stdout

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:37: body: got \"name required\\n\" want \"name required\"\nFAIL\nFAIL\tcodingagentbench/gohttphandler\t0.047s\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":49492.343,"container_active_ms":49447.299999999996,"model_call_ms":0}
blast_radius blast_radius, added, removed, modified, unexpected_changes, expected_changes, total_changes, extra_git_dir {"blast_radius":0.9090909090909091,"added":[".aider.chat.history.md",".aider.input.history",".aider.tags.cache.v4/cache.db",".aider/analytics.json",".aider/caches/model_prices_and_context_window.json",".aider/installs.json",".cache/huggingface/hub/.locks/models--Xenova--llama-3-tokenizer/94eacd0897072dcd7b84d1f6ff3c3f6d1933a8cc.lock",".cache/huggingface/hub/models--Xenova--llama-3-tokenizer/blobs/94eacd0897072dcd7b84d1f6ff3c3f6d1933a8cc",".cache/huggingface/hub/models--Xenova--llama-3-tokenizer/refs/main",".cache/huggingface/hub/models--Xenova--llama-3-tokenizer/snapshots/72bff9ee09897a16b3b4b2b9995fecb0bfa7dbe6/tokenizer.json"],"removed":[],"modified":["handler.go"],"unexpected_changes":[".aider.chat.history.md",".aider.input.history",".aider.tags.cache.v4/cache.db",".aider/analytics.json",".aider/caches/model_prices_and_context_window.json",".aider/installs.json",".cache/huggingface/hub/.locks/models--Xenova--llama-3-tokenizer/94eacd0897072dcd7b84d1f6ff3c3f6d1933a8cc.lock",".cache/huggingface/hub/models--Xenova--llama-3-tokenizer/blobs/94eacd0897072dcd7b84d1f6ff3c3f6d1933a8cc",".cache/huggingface/hub/models--Xenova--llama-3-tokenizer/refs/main",".cache/huggingface/hub/models--Xenova--llama-3-tokenizer/snapshots/72bff9ee09897a16b3b4b2b9995fecb0bfa7dbe6/tokenizer.json"],"expected_changes":["handler.go"],"total_changes":11,"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/go-http-handler-fix"}
composite composite, weights, components, note {"composite":0.44362361722829746,"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":0.9090909090909091,"tokens_per_correct_task":0,"wall_clock_ms":49492.343,"expected_refusal":false,"refusal_produced":false,"cost_efficiency":1,"latency_efficiency":0.5635513875825894,"clean_blast":0.09090909090909094,"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 / 49.49 s
span 202df1f264fc43469a7bd5ee5ddaf845task_setupprepare:polyglot/go-http-handler-fix0 ms45 ms
workdir/tmp/codingagentbench-scratch/codingagentbench-aider-polyglot_go-http-handler-fix-2_jk68vm/workdir
task_categorypolyglot
plugin_stack[]
behavior_modefactory

Terminal playback

replay of the run — opencode cells show genuine step timing; others show a span summary

Run it yourself

Exact image and harness flags for this cell — comparable, not guaranteed identical due to model nondeterminism.

Imagecodingagentbench/aider:v0.86.0·sha256:sha256:f2cd27890…
docker run — exact image used in this run
# pull the exact image used in this run
docker pull codingagentbench/aider:v0.86.0@sha256:sha256:f2cd27890475900f9cb617b1c7a6328989a48e8168e7280ac2247a5d2d26d8a1

docker run --rm \
  -e CAB_ENDPOINT="$YOUR_ENDPOINT" \
  -e CAB_KEY="$YOUR_KEY" \
  codingagentbench/aider:v0.86.0@sha256:sha256:f2cd27890475900f9cb617b1c7a6328989a48e8168e7280ac2247a5d2d26d8a1 \
  run-cell \
    --tui aider \
    --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 aider \
  --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 (6)

Span Kind Name Duration Attrs / Error
202df1f264fc43469a7bd5ee5ddaf845 task_setup prepare:polyglot/go-http-handler-fix 45 ms {"workdir":"/tmp/codingagentbench-scratch/codingagentbench-aider-polyglot_go-http-handler-fix-2_jk68vm/workdir","task_category":"polyglot","plugin_stack":[],"behavior_mode":"factory"}
af905a31d60341888d0b12a79b2eff63 ↳ 075c931cde74458ba13b265298ab0fab task_setup aider:git-init-marker 0 ms {"workdir":"/tmp/codingagentbench-scratch/codingagentbench-aider-polyglot_go-http-handler-fix-2_jk68vm/workdir","git_dir_exists":true}
54ed7eca83a14e1883dfe9120a023c1f ↳ 075c931cde74458ba13b265298ab0fab tool_call applied_plugins 0 ms {"tui":"aider","count":0,"applied":[],"env_keys":[],"extra_args":[],"applied_count":0,"skipped_count":0}
71b377711afe420ba1121bb509dd67a5 ↳ 075c931cde74458ba13b265298ab0fab container aider:launch 49448 ms {"image":"codingagentbench/aider:v0.86.0","argv":["--yes-always","--no-stream","--no-check-update","--no-analytics","--no-show-model-warnings","--no-suggest-shell-commands","--no-auto-commits","--no-pretty","--openai-api-base","http://172.17.0.1:31415/v1","--openai-api-key","sk-ijYE3GGIl2pTqBtwcCcuaIsZzYIIFrIWLMG3qmOK","--model","openai/nvidia/llama-3.3-nemotron-super-49b-v1","--subtree-only","--message","HTTP handler writes body before setting status code, locking the response to 200"],"timeout_s":600,"exit_code":0,"duration_s":49.36449846799951,"timed_out":false}
075c931cde74458ba13b265298ab0fab adapter_run aider:polyglot/go-http-handler-fix 49448 ms {"timeout_s":600,"plugin_stack":[],"exit_code":0}
3a702df6b52147488efc09de29c65a1b cleanup cleanup:aider 0 ms {}

Model calls (0)

# Timestamp Request hash Prompt Completion Latency Finish
Per-call records not captured for this run. TUI-reported session totals: 1,500 prompt + 355 completion tokens.

Other CLIs on this task

Other models with this CLI

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CodingAgentBench: aider × nvidia/llama-3.3-nemotron-super-49b-v1 44%