[devin-ai-integration]

Summary

The only test for VisualWebArenaAgent was @pytest.mark.pricy and called real gpt-4o-mini, so CI (which runs -m 'not pricy') never executed the agent's prompt assembly or action parsing. Adds a CI-runnable test mirroring tests/agents/test_agent.py: it runs the agent on miniwob.click-test through launch_exp.run_experiments with a cheat LLM, asserting one step and cum_reward == 1.0.

Two details specific to this agent, versus the generic-agent tests:

• Its prompt is multi-modal, so the cheat LLM flattens message content instead of reading messages[1]["content"] as a string, and it only searches after the last OBSERVATION: marker because the few-shot [REDACTED SECRET]s also contain button rows.
• The reply must match parser(), i.e. the action inside a fenced code block: ...In summary, the next action I will perform isclick("12") .
• make_agent() needs action_set_args, which is only set by set_benchmark, so the test calls agent_args.set_benchmark(bgym.DEFAULT_BENCHMARKS["miniwob_tiny_test"](), demo_mode=False).

Parametrized over observation_type in ("axtree", "axtree_som") so the screenshot/set-of-marks branch of get_action is exercised too.

Verification: the MiniWoB server could not be started in this session (cloning Farama-Foundation/miniwob-plusplus is blocked by the session network policy), so the full loop was not run locally; the prompt-build + parse path was verified offline by driving get_action with a synthetic observation for both observation types. CI runs the test with MiniWoB available.

Devin-Org: engineering

Link to Devin session: https://app.devin.ai/sessions/91414c8499de4805b8b9170ce243343f
Open in Devin Desktop: https://app.devin.ai/desktop/session/91414c8499de4805b8b9170ce243343f?variant=devin

[devin-ai-integration]

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