feat: add LiteLLM provider and Code-Inc image target
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@@ -16,7 +16,7 @@ TERMINAL_ACTION_RATE_LIMIT_MAX=10
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BRIEF_VERBOSITY=standard
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# LLM layer
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# Providers: openrouter | openai-compatible | lmstudio | ollama | openai | anthropic | gemini | mistral | minimax | grok | codex
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# Providers: litellm | openrouter | openai-compatible | lmstudio | ollama | openai | anthropic | gemini | mistral | minimax | grok | codex
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LLM_PROVIDER=openrouter
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LLM_BASE_URL=https://openrouter.ai/api/v1
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LLM_API_KEY=
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@@ -24,10 +24,11 @@ LLM_MODEL=openrouter/free
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LLM_TEMPERATURE=0.2
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LLM_MAX_TOKENS=2000
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LLM_TIMEOUT_MS=90000
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OPENROUTER_SITE_URL=https://git.wilkensxl.de/MrSphay/intelligence-terminal
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OPENROUTER_SITE_URL=https://git.wilkensxl.de/Code-Inc/intelligence-terminal
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OPENROUTER_APP_NAME=Intelligence Terminal
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# Local OpenAI-compatible examples
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# LiteLLM: LLM_PROVIDER=litellm, LLM_BASE_URL=https://llm.example.com/v1, LLM_API_KEY=your-proxy-key, LLM_MODEL=your-model-alias
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# LM Studio: LLM_PROVIDER=lmstudio, LLM_BASE_URL=http://host.docker.internal:1234/v1, LLM_MODEL=local-model
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# Ollama: LLM_PROVIDER=ollama, LLM_BASE_URL=http://host.docker.internal:11434, LLM_MODEL=llama3.1:8b
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# Generic: LLM_PROVIDER=openai-compatible, LLM_BASE_URL=http://host.docker.internal:8000/v1, LLM_MODEL=your-model
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