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Feedback fixes:
1. Revert _convert_vision_content — vision is handled by the vision_analyze
tool, not by converting image blocks inline in conversation messages.
Removed the function and its tests.
2. Add Anthropic to 'hermes model' (cmd_model in main.py):
- Added to provider_labels dict
- Added to providers selection list
- Added _model_flow_anthropic() with Claude Code credential auto-detection,
API key prompting, and model selection from catalog.
3. Wire up Anthropic as a vision-capable auxiliary provider:
- Added _try_anthropic() to auxiliary_client.py using claude-sonnet-4
as the vision model (Claude natively supports multimodal)
- Added to the get_vision_auxiliary_client() auto-detection chain
(after OpenRouter/Nous, before Codex/custom)
Cache tracking note: the Anthropic cache metrics branch in run_agent.py
(cache_read_input_tokens / cache_creation_input_tokens) is in the correct
place — it's response-level parsing, same location as the existing
OpenRouter cache tracking. auxiliary_client.py has no cache tracking.
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|---|---|---|
| .. | ||
| __init__.py | ||
| auth.py | ||
| banner.py | ||
| callbacks.py | ||
| checklist.py | ||
| clipboard.py | ||
| codex_models.py | ||
| colors.py | ||
| commands.py | ||
| config.py | ||
| cron.py | ||
| curses_ui.py | ||
| doctor.py | ||
| gateway.py | ||
| main.py | ||
| models.py | ||
| pairing.py | ||
| runtime_provider.py | ||
| setup.py | ||
| skills_config.py | ||
| skills_hub.py | ||
| skin_engine.py | ||
| status.py | ||
| tools_config.py | ||
| uninstall.py | ||