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Self learning design - #5
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fixed data extraction file for computer use training
…t field Every Claude prompt (web, mac, ios, linux, windows: main driver, coder, minion) no longer has an <assessment> block. The notes tool agent_memory carries two required fields, memory and next_goal, both filled every step. The Route now lives inside memory on the steps that write one, and the deliberation happens before writing. A smaller, text-only notes tool keeps screenshots and element descriptions from bleeding into the agent's notes. Code follows the prompts: - tool registries (web Rust, mac/ios/linux/windows Python): the agent_memory schema, defaults and tool text are two-field; the normal reasoning tool with optional thinking and fast mode are untouched - drivers, coder and minion services: display payloads and snapshots no longer read assessment; coder and minion fill an empty thinking slot on the Claude path for their display shape - llm_manager: REASONING_OPTIONAL is thinking only Also: memory compression turned on (COMPRESSION = True), and the README video section now opens with Computer use. Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
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Self learning design
FunctionFreak
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New AutoCua/utils/errors.py, error_text(e): the message an exception carries (its args; strerror and filename for OS errors; timeout or exit status for subprocess errors), built from the exception's fields and never from str(e) or a traceback. The sixteen JSON replies in the app's Flask routes, the iOS and Android connectors and the three Telegram views use it in place of str(e). What the person sees stays the same, minus the "[Errno N]" prefix. Closes the fourteen open py/stack-trace-exposure alerts (#5, #8-#15, #27, #30-#32, #35), which treat str(e) of a caught exception as stack-trace text once it reaches a reply.
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