feat: Add screenshot downsampling and refine LLM config/calls#24
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feat: Add screenshot downsampling and refine LLM config/calls#24
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- Adds OMNIPARSER_DOWNSAMPLE_FACTOR config variable to allow scaling screenshots before parsing (default 1.0). Implemented via new utils.downsample_image function called from visual_state.py. - Adds LLM_PROVIDER and ANTHROPIC_DEFAULT_MODEL config variables. - Updates completions.py to use config, add tenacity retries, and restore/use format_chat_messages (guarded by new DEBUG_FULL_PROMPTS config flag). - Fixes test failures in test_visual_state.py related to mock data and patches. Agent planning sequence for calculator task now appears correct with Sonnet and downsample_factor=1.0, although perception (~7-11s) and planning (~5-9s) steps remain slow. Downsampling factor < 1.0 can be enabled via .env for performance testing, but may affect accuracy.
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screenshots before parsing (default 1.0). Implemented via new
utils.downsample_image function called from visual_state.py.
restore/use format_chat_messages (guarded by new DEBUG_FULL_PROMPTS config flag).
Agent planning sequence for calculator task now appears correct with Sonnet
and downsample_factor=1.0, although perception (~7-11s) and planning
(~5-9s) steps remain slow. Downsampling factor < 1.0 can be enabled via
.env for performance testing, but may affect accuracy.