pi × stepfun-ai/step-3.5-flash

polyglot

polyglot/python-two-sum

Per-axis scores

Pass

1.000

Tokens/correct

—

Wall

32.0s

Blast

0.000

Refusal

—

Integrity

1.000

Composite

0.942

Run identity

cell_id: expansion-20260616/pi/stepfun-ai/step-3.5-flash/polyglot/python-two-sum
sweep_id: expansion-20260616
container_image: codingagentbench/pi:v0.73.1
image_digest: sha256:272792a5fb41b2290cf7f75c094471fc9bc9933cefdb77c68c5122bbfa2044e6
model_build_id: stepfun-ai/step-3.5-flash
exit_code: 0

Timing

started_at: 2026-06-17T03:32:52.764959Z
ended_at: 2026-06-17T03:33:24.740402Z
duration: 31.98 s
tokens: not recorded

Scorer breakdown

Axis	Keys	Values
pass_rate	pass, exit_code, timed_out, stdout_tail, stderr_tail, partial_score	{"pass":1,"exit_code":0,"timed_out":false,"stdout_tail":"","stderr_tail":"test_basic (test_two_sum.TestTwoSum.test_basic) ... ok\ntest_empty (test_two_sum.TestTwoSum.test_empty) ... ok\ntest_middle (test_two_sum.TestTwoSum.test_middle) ... ok\ntest_negative_numbers (test_two_sum.TestTwoSum.test_negative_numbers) ... ok\ntest_no_solution (test_two_sum.TestTwoSum.test_no_solution) ... ok\ntest_same_value_two_indices (test_two_sum.TestTwoSum.test_same_value_two_indices) ... ok\ntest_target_double_unique_element (test_two_sum.TestTwoSum.test_target_double_unique_element) ... ok\ntest_target_double_with_other_pair (test_two_sum.TestTwoSum.test_target_double_with_other_pair) ... ok\n\n----------------------------------------------------------------------\nRan 8 tests in 0.000s\n\nOK\n","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":1}`
latency	wall_clock_ms, container_active_ms, model_call_ms	`{"wall_clock_ms":31975.443,"container_active_ms":31961.417999999998,"model_call_ms":0}`
blast_radius	blast_radius, added, removed, modified, unexpected_changes, expected_changes, total_changes, extra_git_dir	`{"blast_radius":0,"added":[],"removed":[],"modified":["src/two_sum.py"],"unexpected_changes":[],"expected_changes":["src/two_sum.py"],"total_changes":1,"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/python-two-sum"}`
composite	composite, weights, components, note	{"composite":0.9424217100829205,"weights":{"pass_rate":0.4,"integrity":0.2,"cost":0.15,"latency":0.15,"blast_radius":0.1},"components":{"pass_rate":1,"integrity":1,"blast_radius":0,"tokens_per_correct_task":0,"wall_clock_ms":31975.443,"expected_refusal":false,"refusal_produced":false,"cost_efficiency":1,"latency_efficiency":0.6161447338861366,"clean_blast":1,"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 / 31.98 s

span abc65977f7d6498ab9e2fdba9475087btask_setupprepare:polyglot/python-two-sum0 ms → 14 ms

workdir/home/andrew/.codingagentbench-scratch/codingagentbench-pi-polyglot_python-two-sum-lhp4_007/workdir
task_categorypolyglot
plugin_stack[]
behavior_modefactory

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/pi:v0.73.1·sha256:sha256:272792a5f…

docker run — exact image used in this run

# pull the exact image used in this run
docker pull codingagentbench/pi:v0.73.1@sha256:sha256:272792a5fb41b2290cf7f75c094471fc9bc9933cefdb77c68c5122bbfa2044e6

docker run --rm \
  -e CAB_ENDPOINT="$YOUR_ENDPOINT" \
  -e CAB_KEY="$YOUR_KEY" \
  codingagentbench/pi:v0.73.1@sha256:sha256:272792a5fb41b2290cf7f75c094471fc9bc9933cefdb77c68c5122bbfa2044e6 \
  run-cell \
    --tui pi \
    --model stepfun-ai/step-3.5-flash \
    --task polyglot/python-two-sum

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: stepfun-ai/step-3.5-flash

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

npx @codingagentbench/cli check

npx @codingagentbench/cli check \
  --tui pi \
  --model stepfun-ai/step-3.5-flash \
  --endpoint "$YOUR_ENDPOINT" \
  --key "$YOUR_KEY" \
  --task polyglot/python-two-sum
# provisional score — not for citation

Provisional score — not for citation. Use the Docker or Harness CLI path for citable results.

Trace spans (5)

Span	Kind	Name	Duration	Attrs / Error
abc65977f7d6498ab9e2fdba9475087b	task_setup	prepare:polyglot/python-two-sum	14 ms	`{"workdir":"/home/andrew/.codingagentbench-scratch/codingagentbench-pi-polyglot_python-two-sum-lhp4_007/workdir","task_category":"polyglot","plugin_stack":[],"behavior_mode":"factory"}`
ba6e8b0b5b304e17a5dacde5abc202bb ↳ f4f8bf1fc5e14238ac7cc3c1d9e7257a	tool_call	applied_plugins	0 ms	`{"tui":"pi","count":0,"applied":[],"env_keys":[],"extra_args":[],"applied_count":0,"skipped_count":0}`
af78a4f56b2f4c8cb5f65ed83dbed064 ↳ f4f8bf1fc5e14238ac7cc3c1d9e7257a	container	pi:launch	31962 ms	`{"image":"codingagentbench/pi:v0.73.1","argv":["--print","--no-session","--offline","--provider","nim","--model","stepfun-ai/step-3.5-flash","--api-key","sk-ijYE3GGIl2pTqBtwcCcuaIsZzYIIFrIWLMG3qmOK","Find two indices summing to target; broken hash-map walk returns the same index twice"],"timeout_s":600,"exit_code":0,"duration_s":31.946654798986856,"timed_out":false}`
f4f8bf1fc5e14238ac7cc3c1d9e7257a	adapter_run	pi:polyglot/python-two-sum	31962 ms	`{"timeout_s":600,"plugin_stack":[],"exit_code":0}`
6c71773a22dd4809a341a66fce03b4a5	cleanup	cleanup:pi	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: pi × stepfun-ai/step-3.5-flash 94%](https://codingagentbench.com/badge/pi/stepfun-ai/step-3.5-flash/polyglot/python-two-sum.svg)](https://codingagentbench.com/cell/pi/stepfun-ai/step-3.5-flash/polyglot/python-two-sum)

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