aider × qwen/qwen3.5-122b-a10b

polyglot

polyglot/ts-type-narrowing

Per-axis scores

Pass

0.000

Tokens/correct

—

Wall

21.8s

Blast

1.000

Refusal

—

Integrity

1.000

Composite

0.450

Run identity

cell_id: free-20260527/aider/qwen/qwen3.5-122b-a10b/polyglot/ts-type-narrowing#run1
sweep_id: free-20260527
container_image: codingagentbench/aider:v0.86.0
image_digest: sha256:f2cd27890475900f9cb617b1c7a6328989a48e8168e7280ac2247a5d2d26d8a1
model_build_id: qwen/qwen3.5-122b-a10b
exit_code: 0

Timing

started_at: 2026-05-28T02:22:26.259862Z
ended_at: 2026-05-28T02:22:48.086681Z
duration: 21.83 s
prompt_tokens: 1,200
completion_tokens: 50
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":"✔ square (0.950726ms)\n✔ circle (0.233493ms)\n✖ rect uses widthheight not widthwidth (0.92653ms)\n✖ rect 1x10 (0.259483ms)\nℹ tests 4\nℹ suites 0\nℹ pass 2\nℹ fail 2\nℹ cancelled 0\nℹ skipped 0\nℹ todo 0\nℹ duration_ms 82.777022\n\n✖ failing tests:\n\ntest at build/tests/shape.test.js:12:1\n✖ rect uses widthheight not widthwidth (0.92653ms)\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-wh_lguyz/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 (0.259483ms)\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-wh_lguyz/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":21826.819,"container_active_ms":21813.463,"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","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","build/src/shape.js","build/tests/shape.test.js"],"expected_changes":[],"total_changes":8,"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":0.44981413049855695,"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":21826.819,"expected_refusal":false,"refusal_produced":false,"cost_efficiency":1,"latency_efficiency":0.6654275366570466,"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 / 21.83 s

span 687af4285e9446569db6bb021c4f9ea6task_setupprepare:polyglot/ts-type-narrowing0 ms → 13 ms

workdir/tmp/codingagentbench-aider-polyglot_ts-type-narrowing-wh_lguyz/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 qwen/qwen3.5-122b-a10b \
    --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: qwen/qwen3.5-122b-a10b

Zero-install preview — npx CLI (provisional, not for citation)

npx @codingagentbench/cli check

npx @codingagentbench/cli check \
  --tui aider \
  --model qwen/qwen3.5-122b-a10b \
  --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
687af4285e9446569db6bb021c4f9ea6	task_setup	prepare:polyglot/ts-type-narrowing	13 ms	`{"workdir":"/tmp/codingagentbench-aider-polyglot_ts-type-narrowing-wh_lguyz/workdir","task_category":"polyglot","plugin_stack":[],"behavior_mode":"factory"}`
43c9e2c7e4314d84a9675e6a1dfa8553 ↳ e56986bd8408468ba9e0712d820fc484	task_setup	aider:git-init-marker	0 ms	`{"workdir":"/tmp/codingagentbench-aider-polyglot_ts-type-narrowing-wh_lguyz/workdir","git_dir_exists":true}`
090927e18c774663838f051199db3079 ↳ e56986bd8408468ba9e0712d820fc484	tool_call	applied_plugins	0 ms	`{"tui":"aider","count":0,"applied":[],"env_keys":[],"extra_args":[],"applied_count":0,"skipped_count":0}`
fc4745f42aa74b8cb29685c258e6a6b9 ↳ e56986bd8408468ba9e0712d820fc484	container	aider:launch	21813 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/qwen/qwen3.5-122b-a10b","--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":9.16290672699688,"timed_out":false}
e56986bd8408468ba9e0712d820fc484	adapter_run	aider:polyglot/ts-type-narrowing	21814 ms	`{"timeout_s":600,"plugin_stack":[],"exit_code":0}`
c3ba9063ed9f462db821ee62f9964898	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: 1,200 prompt + 50 completion tokens.

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