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{"repo": "ayastrebov/local-llm-setup", "files": {"mimo/setup.md": {"fb62a94f99d5450e9ada26105b8fc30f881ed9d7": {"t": 1785595275.5615206, "n": 1183, "h": "f8c59a384910e639", "c": "# Xiaomi MiMo Setup\n\nDirect API access to MiMo V2.5 (Omni) and V2.5 Pro from Xiaomi. Both have a 1M context window and support deep thinking.\n\n## API key\n\nGet a key at https://platform.xiaomimimo.com, then store it once:\n\n```bash\nprintf '%s' 'sk-...' | secret-tool store --label='Xiaomi MiMo API key' service mimo user \"$USER\"\n```\n\n`zshrc-snippet.sh` picks it up as `MIMO_API_KEY`.\n\n## Models\n\n| Model ID | Context | Max Output | Notes |\n|------------------|---------|------------|------------------------------------------------|\n| `mimo-v2.5` | 1M | 128K | Omni — multimodal, thinking, function calls |\n| `mimo-v2.5-pro` | 1M | 128K | Pro tier — same context, higher capability |\n\nBase URL: `https://api.xiaomimimo.com/v1` (OpenAI-compatible). \nAnthropic-format endpoint also available: `https://api.xiaomimimo.com/anthropic`.\n\n## OpenCode\n\nProvider name: `mimo`. Env var: `MIMO_API_KEY`.\n\nAvailable agents:\n- `mimo` — V2.5 Omni, 50 steps\n- `mimo-pro` — V2.5 Pro, 100 steps\n\n## pi.dev\n\nProvider name: `mimo` in `models-fedora.json` / `models-mac.json`. \nAPI key set directly in the config file.\n"}}}} |