gokhanamal/FlowProof iOS E2E

Run a bounded, recorded iOS Appium journey with deterministic evidence.

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namedescriptionrequireddefault
app_pathPath to the built .app bundle.yes
flow_pathPath to the project-owned YAML flow.yes
simulator_udidUDID of a booted iOS Simulator.yes
modelOpenAI model identifier.gpt-5.6-luna
artifacts_dirArtifact directory. Defaults inside RUNNER_TEMP.""
artifact_nameUploaded artifact name.flowproof
retention_daysArtifact retention period.7
appium_portLocal Appium server port.4723
openai_api_keyOpenAI API key. Pass a GitHub secret; exposed only to the journey step.""
runtime_input_1_nameOptional first runtime input alias.""
runtime_input_1_valueOptional first runtime input secret.""
runtime_input_2_nameOptional second runtime input alias.""
runtime_input_2_valueOptional second runtime input secret.""
runtime_input_3_nameOptional third runtime input alias.""
runtime_input_3_valueOptional third runtime input secret.""
runtime_input_4_nameOptional fourth runtime input alias.""
runtime_input_4_valueOptional fourth runtime input secret.""
fixture_input_nameOptional fixture-only input alias.""
fixture_input_valueOptional fixture-only secret.""
namedescription
artifacts_pathAbsolute path containing the run evidence.
artifact_urlAuthenticated URL for the uploaded screen recording and evidence.