he
5e312b3207
gates / consistency-and-conventions (push) Successful in 1m38s
Service manager (start/stop/status/models/logs) with systemd user service generation, GPU auto-detection, model selection from pos ai hf downloads. Provider adapter integrates with pos ai ask as --provider llamacpp. Config extends existing ai scope with LLAMACPP_* keys. 87 test cases / 0 failed. make gen/check/lint 0 FAIL / 0 WARN.
27 lines
1.3 KiB
Bash
27 lines
1.3 KiB
Bash
# ~/.config/linux_post_install/ai.env — AI provider config for 'pos ai'
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# Copied to ~/.config/linux_post_install/ai.env on install (no clobber).
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# Edit with: pos config ai
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#
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# Provider selection:
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# AI_PROVIDER=gemini # provider: gemini|openrouter (default gemini)
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#
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# API keys (each provider needs its own):
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# AI_GEMINI_API_KEY=<key> # Gemini API key from aistudio.google.com
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# OPENROUTER_API_KEY=<key> # OpenRouter API key from openrouter.ai
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#
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# Model overrides (optional, defaults per provider):
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# AI_GEMINI_MODEL=<model> # Gemini model id (default: gemini-2.5-flash)
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# OPENROUTER_MODEL=<model> # OpenRouter model id (default: openrouter/auto)
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# AI_MODEL=<model> # Override for all providers (takes priority)
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#
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# System prompt:
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# AI_SYSTEM_PROMPT=<prompt> # Custom system prompt (overrides built-in; empty to reset)
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#
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# llama.cpp local inference server (pos ai server):
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# LLAMACPP_PORT=8088 # Server port (default 8088)
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# LLAMACPP_HOST=127.0.0.1 # Bind address (default 127.0.0.1)
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# LLAMACPP_MODEL=<path> # Default model path (GGUF file)
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# LLAMACPP_CTX_SIZE=4096 # Context window size (default 4096)
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# LLAMACPP_GPU_LAYERS=-1 # GPU layers: -1=auto, 0=CPU only (default -1)
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# LLAMACPP_THREADS=<n> # CPU threads (default: nproc)
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