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CodingAgentBench

aider × meta/llama-3.3-70b-instruct

polyglot
polyglot/ts-generic-utility

Per-axis scores

Pass
0.000
Tokens/correct
—
Wall
283.6s
Blast
1.000
Refusal
—
Integrity
1.000
Composite
0.411

Run identity

cell_id
free-20260527/aider/meta/llama-3.3-70b-instruct/polyglot/ts-generic-utility#run1
sweep_id
free-20260527
container_image
codingagentbench/aider:v0.86.0
image_digest
sha256:f2cd27890475900f9cb617b1c7a6328989a48e8168e7280ac2247a5d2d26d8a1
model_build_id
meta/llama-3.3-70b-instruct
exit_code
0

Timing

started_at
2026-05-28T02:29:28.394097Z
ended_at
2026-05-28T02:34:11.978548Z
duration
283.58 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":2,"timed_out":false,"stdout_tail":"tests/group_by.test.ts(18,23): error TS2558: Expected 1 type arguments, but got 2.\ntests/group_by.test.ts(24,23): error TS2558: Expected 1 type arguments, but got 2.\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":283584.451,"container_active_ms":283573.056,"model_call_ms":0}
blast_radius blast_radius, added, removed, modified, unexpected_changes, expected_changes, total_changes, extra_git_dir {"blast_radius":1,"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","build/src/group_by.js","build/tests/group_by.test.js"],"removed":[],"modified":[],"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","build/src/group_by.js","build/tests/group_by.test.js"],"expected_changes":[],"total_changes":12,"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/ts-generic-utility"}
composite composite, weights, components, note {"composite":0.4107845325776624,"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":283584.451,"expected_refusal":false,"refusal_produced":false,"cost_efficiency":1,"latency_efficiency":0.40523021718441604,"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 / 283.58 s
span 66028779cf5e4b89b817a9ea0676b6a9task_setupprepare:polyglot/ts-generic-utility0 ms → 10 ms
workdir/tmp/codingagentbench-aider-polyglot_ts-generic-utility-fleewjul/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 meta/llama-3.3-70b-instruct \
    --task polyglot/ts-generic-utility

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: meta/llama-3.3-70b-instruct
Zero-install preview — npx CLI (provisional, not for citation)
npx @codingagentbench/cli check
npx @codingagentbench/cli check \
  --tui aider \
  --model meta/llama-3.3-70b-instruct \
  --endpoint "$YOUR_ENDPOINT" \
  --key "$YOUR_KEY" \
  --task polyglot/ts-generic-utility
# 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
66028779cf5e4b89b817a9ea0676b6a9 task_setup prepare:polyglot/ts-generic-utility 10 ms {"workdir":"/tmp/codingagentbench-aider-polyglot_ts-generic-utility-fleewjul/workdir","task_category":"polyglot","plugin_stack":[],"behavior_mode":"factory"}
932d1e15f9b4403482ba5d96e4accc59 ↳ 828bf6adaa0042bab2c5105b86324ef5 task_setup aider:git-init-marker 0 ms {"workdir":"/tmp/codingagentbench-aider-polyglot_ts-generic-utility-fleewjul/workdir","git_dir_exists":true}
fa0b1e85683f4127a855d04c035ee9d2 ↳ 828bf6adaa0042bab2c5105b86324ef5 tool_call applied_plugins 0 ms {"tui":"aider","count":0,"applied":[],"env_keys":[],"extra_args":[],"applied_count":0,"skipped_count":0}
887aed1d60a1440fad7feb276ea9c44f ↳ 828bf6adaa0042bab2c5105b86324ef5 container aider:launch 283573 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/meta/llama-3.3-70b-instruct","--subtree-only","--message","Implement groupBy<T, K> using a key extractor; current impl loses generic K and forces all keys to string"],"timeout_s":600,"exit_code":0,"duration_s":226.34975785796996,"timed_out":false}
828bf6adaa0042bab2c5105b86324ef5 adapter_run aider:polyglot/ts-generic-utility 283573 ms {"timeout_s":600,"plugin_stack":[],"exit_code":0}
96ceb868e84a40cc8be9a3964c26c1ae cleanup cleanup:aider 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: aider × meta/llama-3.3-70b-instruct 41%