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Docker caches every layer, so if we do: ```bash RUN apt-get update RUN apt-get install xxx ``` We could run into a situation where the first `apt-get update` gets cached, and the `apt-get install` fails because it's using outdated links.
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Fair enough, thanks for this! |
luijait
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Apr 4, 2025
Updating screenshot to CDN link
luijait
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Apr 5, 2025
Fix issue with apt-get install
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vmayoral
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Oct 14, 2025
Root cause: get_terminal_id() was checking thread-local storage first, which gets overwritten in async execution where multiple coroutines share the same thread. Solution: Modified get_terminal_id() in integration.py to check context variables first (properly isolated in async) before falling back to thread-local storage. Now: - Agent #1 outputs to Terminal 1 (left) - Agent #2 outputs to Terminal 2 (right) - Each terminal shows only its assigned agent's output 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
vmayoral
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Oct 14, 2025
Root cause: get_terminal_id() was checking thread-local storage first, which gets overwritten in async execution where multiple coroutines share the same thread. Solution: Modified get_terminal_id() in integration.py to check context variables first (properly isolated in async) before falling back to thread-local storage. Now: - Agent #1 outputs to Terminal 1 (left) - Agent #2 outputs to Terminal 2 (right) - Each terminal shows only its assigned agent's output 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
vmayoral
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Oct 14, 2025
Updating screenshot to CDN link
pzabalegui
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- Added loop to display predefined models (Alias, Claude, OpenAI, DeepSeek, Ollama Cloud) before LiteLLM models - Models aliasrobotics#1-14 now correctly show predefined models - LiteLLM models start from aliasrobotics#15+ as expected - Added get_ollama_auth_headers() function in util.py for Ollama Cloud auth - Fixed model numbering to be consistent with global cache This resolves the issue where predefined models were skipped and only LiteLLM models appeared starting from aliasrobotics#15.
UnaiAlias
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Dec 10, 2025
* feat: Add Ollama Cloud integration with ollama_cloud/ prefix - Added support for Ollama Cloud models via AsyncOpenAI - Models use ollama_cloud/ prefix (e.g., ollama_cloud/gpt-oss:120b) - Reads OLLAMA_API_KEY and OLLAMA_API_BASE for cloud authentication - Added predefined Ollama Cloud models to /model-show - Filtered obsolete ollama/*-cloud models from LiteLLM database - Updated authentication headers in completer, banner, and toolbar - Added concise English documentation in docs/providers/ - Adapted to new global model cache architecture from #371 Modified files: - src/cai/sdk/agents/models/openai_chatcompletions.py - src/cai/repl/commands/model.py (adapted to global cache) - src/cai/util.py - src/cai/repl/commands/completer.py - src/cai/repl/ui/banner.py - src/cai/repl/ui/toolbar.py - docs/providers/ollama.md - docs/providers/ollama_cloud.md All existing functionality preserved (backward compatible). * fix: Add missing Ollama Cloud models and get_ollama_auth_headers - Added Ollama Cloud models to get_predefined_model_categories() - Added get_ollama_auth_headers() function to util.py - Added Ollama Cloud to category_to_provider mapping - Imported get_ollama_auth_headers in model.py This fixes the issue where predefined models weren't showing in /model-show. * fix: Display predefined models first in /model-show - Added loop to display predefined models (Alias, Claude, OpenAI, DeepSeek, Ollama Cloud) before LiteLLM models - Models #1-14 now correctly show predefined models - LiteLLM models start from #15+ as expected - Added get_ollama_auth_headers() function in util.py for Ollama Cloud auth - Fixed model numbering to be consistent with global cache This resolves the issue where predefined models were skipped and only LiteLLM models appeared starting from #15. * fix: Restore correct import of cai.caibench instead of pentestperf During rebase, the import was incorrectly changed from 'import cai.caibench as ptt' to 'import pentestperf as ptt'. This commit restores the correct import. The original code uses cai.caibench, not an external pentestperf module.
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Docker caches every layer, so if we do:
We could run into a situation where the first
apt-get updategets cached, and theapt-get installfails because it's using outdated links.The fix just put them together in the same line.