feat: automation script with MAB modes and context passing #4
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- automation_runner.py: run test cases with multiple models, optional feedback (stationary/non-stationary MAB) - main.py: allStepsAtOnceWithoutKnowledgeAgent, return debug/verification for context, handle dict knowledge_response - agents.py: model/temperature override, tool_call_limit, timeout 180s, generic verification prompt - metrics_db.py: temperature column, attempt_context table for storing/retrieving context between attempts - .gitignore: logs, debug_logs, db, cache, env, docs
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automation_runner.py: run test cases with multiple models, optional feedback (stationary/non-stationary MAB)
main.py: allStepsAtOnceWithoutKnowledgeAgent, return debug/verification for context, handle dict knowledge_response
agents.py: model/temperature override, tool_call_limit, timeout 180s, generic verification prompt
metrics_db.py: temperature column, attempt_context table for storing/retrieving context between attempts
.gitignore: logs, debug_logs, db, cache, env, docs