aider × meta/llama-3.3-70b-instruct

polyglot

polyglot/ts-type-narrowing

Per-axis scores

Pass

0.000

Tokens/correct

—

Wall

252.9s

Blast

1.000

Refusal

—

Integrity

1.000

Composite

0.412

Run identity

cell_id: free-20260527/aider/meta/llama-3.3-70b-instruct/polyglot/ts-type-narrowing#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: 2026-05-28T02:29:57.087916Z
ended_at: 2026-05-28T02:34:09.969267Z
duration: 252.88 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":"✔ square (0.622094ms)\n✔ circle (0.156027ms)\n✖ rect uses widthheight not widthwidth (0.633846ms)\n✖ rect 1x10 (0.160806ms)\nℹ tests 4\nℹ suites 0\nℹ pass 2\nℹ fail 2\nℹ cancelled 0\nℹ skipped 0\nℹ todo 0\nℹ duration_ms 58.583701\n\n✖ failing tests:\n\ntest at build/tests/shape.test.js:12:1\n✖ rect uses widthheight not widthwidth (0.633846ms)\n AssertionError [ERR_ASSERTION]: Expected values to be strictly equal:\n \n 9 !== 15\n \n at TestContext.<anonymous> (file:///tmp/codingagentbench-aider-polyglot_ts-type-narrowing-i88gc_jm/workdir/build/tests/shape.test.js:14:12)\n at Test.runInAsyncScope (node:async_hooks:226:14)\n at Test.run (node:internal/test_runner/test:1306:25)\n at Test.processPendingSubtests (node:internal/test_runner/test:897:18)\n at Test.postRun (node:internal/test_runner/test:1447:19)\n at Test.run (node:internal/test_runner/test:1372:12)\n at async Test.processPendingSubtests (node:internal/test_runner/test:897:7) {\n generatedMessage: true,\n code: 'ERR_ASSERTION',\n actual: 9,\n expected: 15,\n operator: 'strictEqual',\n diff: 'simple'\n }\n\ntest at build/tests/shape.test.js:16:1\n✖ rect 1x10 (0.160806ms)\n AssertionError [ERR_ASSERTION]: Expected values to be strictly equal:\n \n 1 !== 10\n \n at TestContext.<anonymous> (file:///tmp/codingagentbench-aider-polyglot_ts-type-narrowing-i88gc_jm/workdir/build/tests/shape.test.js:18:12)\n at Test.runInAsyncScope (node:async_hooks:226:14)\n at Test.run (node:internal/test_runner/test:1306:25)\n at Test.processPendingSubtests (node:internal/test_runner/test:897:18)\n at Test.postRun (node:internal/test_runner/test:1447:19)\n at Test.run (node:internal/test_runner/test:1372:12)\n at async Test.processPendingSubtests (node:internal/test_runner/test:897:7) {\n generatedMessage: true,\n code: 'ERR_ASSERTION',\n actual: 1,\n expected: 10,\n operator: 'strictEqual',\n diff: 'simple'\n }\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":252881.351,"container_active_ms":252869.548,"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/shape.js","build/tests/shape.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/shape.js","build/tests/shape.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-type-narrowing"}`
composite	composite, weights, components, note	{"composite":0.4119896244917922,"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":252881.351,"expected_refusal":false,"refusal_produced":false,"cost_efficiency":1,"latency_efficiency":0.41326416327861487,"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 / 252.88 s

span 499ccfa9897f4334a19719530d176462task_setupprepare:polyglot/ts-type-narrowing0 ms → 12 ms

workdir/tmp/codingagentbench-aider-polyglot_ts-type-narrowing-i88gc_jm/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-type-narrowing

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-type-narrowing
# 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
499ccfa9897f4334a19719530d176462	task_setup	prepare:polyglot/ts-type-narrowing	12 ms	`{"workdir":"/tmp/codingagentbench-aider-polyglot_ts-type-narrowing-i88gc_jm/workdir","task_category":"polyglot","plugin_stack":[],"behavior_mode":"factory"}`
81a61b04f4d04e96860bc29922b06666 ↳ 0793207e20c448b3ae65187ed439f16a	task_setup	aider:git-init-marker	0 ms	`{"workdir":"/tmp/codingagentbench-aider-polyglot_ts-type-narrowing-i88gc_jm/workdir","git_dir_exists":true}`
30cfc8d74fda4c0ca9003a5599f37404 ↳ 0793207e20c448b3ae65187ed439f16a	tool_call	applied_plugins	0 ms	`{"tui":"aider","count":0,"applied":[],"env_keys":[],"extra_args":[],"applied_count":0,"skipped_count":0}`
4c8467ca37ba46be855b10f6be014f90 ↳ 0793207e20c448b3ae65187ed439f16a	container	aider:launch	252870 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","Discriminated union not narrowed properly; switch falls through to default and returns wrong result"],"timeout_s":600,"exit_code":0,"duration_s":217.85132995405002,"timed_out":false}
0793207e20c448b3ae65187ed439f16a	adapter_run	aider:polyglot/ts-type-narrowing	252870 ms	`{"timeout_s":600,"plugin_stack":[],"exit_code":0}`
99bf19e7ea5d42b289fc8a0dac880348	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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