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CodingAgentBench

copilot × stepfun-ai/step-3.5-flash

polyglot
polyglot/python-two-sum

Per-axis scores

Pass
1.000
Tokens/correct
—
Wall
27.1s
Blast
0.000
Refusal
—
Integrity
1.000
Composite
0.946

Run identity

cell_id
expansion-20260616/copilot/stepfun-ai/step-3.5-flash/polyglot/python-two-sum
sweep_id
expansion-20260616
container_image
codingagentbench/copilot:v1.0.63
image_digest
sha256:6ad0221187dc5c6de50c8aeec50b0eb8eab269c1a681c79efaaa068741a20607
model_build_id
stepfun-ai/step-3.5-flash
exit_code
0

Timing

started_at
2026-06-17T02:29:08.720641Z
ended_at
2026-06-17T02:29:35.842832Z
duration
27.12 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":27122.191000000003,"container_active_ms":27109.772,"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":0.9455637034727511,"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":27122.191000000003,"expected_refusal":false,"refusal_produced":false,"cost_efficiency":1,"latency_efficiency":0.6370913564850066,"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
t = 0 ms / 27.12 s
span a397911e76d44ef6b9e006d6281737cetask_setupprepare:polyglot/python-two-sum0 ms → 12 ms
workdir/home/andrew/.codingagentbench-scratch/codingagentbench-copilot-polyglot_python-two-sum-n8kfpebh/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/copilot:v1.0.63·sha256:sha256:6ad022118…
docker run — exact image used in this run
# pull the exact image used in this run
docker pull codingagentbench/copilot:v1.0.63@sha256:sha256:6ad0221187dc5c6de50c8aeec50b0eb8eab269c1a681c79efaaa068741a20607

docker run --rm \
  -e CAB_ENDPOINT="$YOUR_ENDPOINT" \
  -e CAB_KEY="$YOUR_KEY" \
  codingagentbench/copilot:v1.0.63@sha256:sha256:6ad0221187dc5c6de50c8aeec50b0eb8eab269c1a681c79efaaa068741a20607 \
  run-cell \
    --tui copilot \
    --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 copilot \
  --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
a397911e76d44ef6b9e006d6281737ce task_setup prepare:polyglot/python-two-sum 12 ms {"workdir":"/home/andrew/.codingagentbench-scratch/codingagentbench-copilot-polyglot_python-two-sum-n8kfpebh/workdir","task_category":"polyglot","plugin_stack":[],"behavior_mode":"factory"}
f02ca8e69e4343e9be6b217fff563423 ↳ 11346b169cb14a86a1bd30eb6c601e44 tool_call applied_plugins 0 ms {"tui":"copilot","count":0,"applied":[],"env_keys":[],"extra_args":[],"applied_count":0,"skipped_count":0}
7ccfa99f720142d3aee1b798ee419a22 ↳ 11346b169cb14a86a1bd30eb6c601e44 container copilot:launch 27110 ms {"image":"codingagentbench/copilot:v1.0.63","argv":["-p","Find two indices summing to target; broken hash-map walk returns the same index twice","--allow-all"],"timeout_s":600,"exit_code":0,"duration_s":27.095946333021857,"timed_out":false}
11346b169cb14a86a1bd30eb6c601e44 adapter_run copilot:polyglot/python-two-sum 27110 ms {"timeout_s":600,"plugin_stack":[],"exit_code":0}
4d72b7fdc0e84bfb9f289b8690ef0900 cleanup cleanup:copilot 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: copilot × stepfun-ai/step-3.5-flash 95%](https://codingagentbench.com/badge/copilot/stepfun-ai/step-3.5-flash/polyglot/python-two-sum.svg)](https://codingagentbench.com/cell/copilot/stepfun-ai/step-3.5-flash/polyglot/python-two-sum)
HTML / iframe
<a href="https://codingagentbench.com/cell/copilot/stepfun-ai/step-3.5-flash/polyglot/python-two-sum"><img src="https://codingagentbench.com/badge/copilot/stepfun-ai/step-3.5-flash/polyglot/python-two-sum.svg" alt="CodingAgentBench: copilot × stepfun-ai/step-3.5-flash 95%" /></a>
CodingAgentBench: copilot × stepfun-ai/step-3.5-flash 95%